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Full-Text Articles in Physical Sciences and Mathematics

Hydrodynamic Characteristics Study Of Expendable Probe At Multi Cross Flow And Multi Attack Angle, Zhentao Chen, Liu Feng, Xiaolei Wang, Ye Song Jan 2019

Hydrodynamic Characteristics Study Of Expendable Probe At Multi Cross Flow And Multi Attack Angle, Zhentao Chen, Liu Feng, Xiaolei Wang, Ye Song

Journal of System Simulation

Abstract: The cross flow and attack angle are the two main influencing factors in the process of expendable probe releasing and sinking. The numerical simulation model is developed based on the hybrid grid and $k-\varepsilon$ turbulent model, and the hydrodynamic characteristics of five cross flows and five attack angles are analyzed. The results show that the drag coefficient of the probe in the horizontal direction increases gradually, while the drag coefficient of the probe in the vertical direction increases slowly with the increase of the cross flow. The drag coefficient in the horizontal direction increases gradually with the increase of …


An Anti-Occlusion Adaptive Particle Filtering Algorithm, Li Ju, Mingwei Cao, Yu Ye, Xia Yu, Lifan Zhou Jan 2019

An Anti-Occlusion Adaptive Particle Filtering Algorithm, Li Ju, Mingwei Cao, Yu Ye, Xia Yu, Lifan Zhou

Journal of System Simulation

Abstract: Considering the influence of local occlusion on particle filter tracking algorithm, an anti occlusion adaptive particle filtering algorithm is proposed. It adopts a rectangle as the tracking window, and uses the K mean clustering algorithm to complete particle clustering in resampling, and then obtains the particle subgroup. It estimates the final state according to particles subgroups, and modifies the tracking window. When the area changes more than 5%, the tracking window maintains the same as the one in last frame. Otherwise, the tracking window will change according to the size of moving object, which is a self-adaptation process. At …


Optimization Of Frictionless Cylinder-Structure Based On Pso, Liu Yu, Gouxin Zhao Jan 2019

Optimization Of Frictionless Cylinder-Structure Based On Pso, Liu Yu, Gouxin Zhao

Journal of System Simulation

Abstract: Aerostatic frictionless cylinder is the critical component of pneumatic gravity compensation device, the key of its design is to take all related factors into consideration for optimum performance. To optimize the structure of aerostatic frictionless cylinder, the optimal parameters in the cylinder are proposed, which maximizes the bearing capacity in radial direction and keeps the leakage at a relatively low level. Through analyzing the structure of the aerostatic frictionless cylinder, a mathematic model of the aerostatic frictionless cylinder is deduced. Based on simulations, the relationship during the structural parameters, the bearing capacity and the leakage is acquired. It is …


Design Of Imu/Gps-Based Seamless Location System For Android, Sun Wei, Wang Ye, Ruibao Li, Yang Dan Jan 2019

Design Of Imu/Gps-Based Seamless Location System For Android, Sun Wei, Wang Ye, Ruibao Li, Yang Dan

Journal of System Simulation

Abstract: The method of seamless combination of IMU and GPS module based on Android mobile terminal is researched and implemented, and the design scheme and experimental results are given. When the GPS signal is missing, the gait detection, heading calculation and track estimation can be carried out by using the IMU inertial sensor which is inherent in the mobile terminal to complete the seamless positioning. Based on the Android system and the open platform of Baidu map, the algorithm implementation and human-computer interaction can be completed in the mobile terminal. The test results show that the relative error of the …


Event-Triggered Scheme And Co-Design Of $H_{\Infty}$ Control In Networked Control System, Jingqi Fu, Wu Jie, Weili Shen Jan 2019

Event-Triggered Scheme And Co-Design Of $H_{\Infty}$ Control In Networked Control System, Jingqi Fu, Wu Jie, Weili Shen

Journal of System Simulation

Abstract: Since the wireless network time-varying delay and communication channel bandwidth have great effects on networked control systems(NCSs), this paper studies an event-triggered scheme and a $H_{\infty}$control co-design method. Initially, a delay mathematic model of NCSs is constructed. In consideration of wireless network time-varying delay between event generator and zero order holder, this paper designs an improved event-triggered communication scheme. Furthermore, by applying a new Lyapunov-Krasovskii functional and linear matrix inequality method, a criterion for the delay-independent $H_{\infty}$ stabilization is derived, and the co-design method for gaining the trigger parameters and state feedback $H_{\infty}$ control is …


An Improved Algorithm Of Vire Based On Bp Neural Network, Hongshan Kong, Bin Yu Jan 2019

An Improved Algorithm Of Vire Based On Bp Neural Network, Hongshan Kong, Bin Yu

Journal of System Simulation

Abstract: Aimed at the problem that the proper threshold affects the accuracy of positioning in VIRE algorithm, a RFID positioning method combining BP neural networks with VIRE algorithm is presented and is named BP-VIRE. BP-VIRE utilizes the same reader’s configuration and deployment as that of VIRE, and regards referenced tag RSSI and coordinate values as training samples, and constructs the positioning model based on neural networks with the help of BP algorithm which uses the method of error back propagation. According to the simulation results, compared with VIRE, BP-VIRE performance is better in the capability of positioning, esp. in the …


Modeling Of Wheat Ears Growth Based On Bezier Surface, Junxiao Xue, Chenyang Sun, Mingliang Xu, Yin Hui, Haiyu Yu Jan 2019

Modeling Of Wheat Ears Growth Based On Bezier Surface, Junxiao Xue, Chenyang Sun, Mingliang Xu, Yin Hui, Haiyu Yu

Journal of System Simulation

Abstract: Simulation model of wheat growth has important theoretical significance and application value for wheat growth regulation and management. Study the growth of wheat ears from heading to maturity. We propose an unified modeling method for the grain, lemma and palea of wheat ears based on Bezier surface. Meanwhile, all the models are re-polygonized so that it can be easier to detect the collision. The method can simulate the growth of wheat ear with relatively high modeling efficiency. Experiment results show that the proposed method has very good modeling effect and the modeling of wheat ear at different growth stages …


Analysis Of Fuzzy Control Constant Current Charging Characteristic For Breaking And Making Capacitor Of Permanent Magnet Circuit Breaker, Peng Jin, Xianbing Wang, Xiangao Wang, Xichen Ye, Wang Huan Jan 2019

Analysis Of Fuzzy Control Constant Current Charging Characteristic For Breaking And Making Capacitor Of Permanent Magnet Circuit Breaker, Peng Jin, Xianbing Wang, Xiangao Wang, Xichen Ye, Wang Huan

Journal of System Simulation

Abstract: In order to realize the precise control of breaking and making capacitors constant current charging for the permanent magnet (PM) circuit breaker, a fuzzy constant current charging technology of breaking and making capacitors is put forward. On the basis of analyzing the working characteristics for breaking and making capacitors constant current charging, the membership functions of current deviation e, deviation changing rate ec and output variable u for breaking and making capacitors constant current and fuzzy control rules are set up. The establishment of a two-dimensional lookup table replacing the complex fuzzy control algorithm can effectively improve the …


Volume Rendering For Ct Images Based On 3d Gradient Amplitude, Luo Ming, Shuifa Sun, Liwen Wang, Fangmin Dong Jan 2019

Volume Rendering For Ct Images Based On 3d Gradient Amplitude, Luo Ming, Shuifa Sun, Liwen Wang, Fangmin Dong

Journal of System Simulation

Abstract: In order to maintain the partial shape characteristics of the three-dimensional space of interest in the process of CT images volume rendering, a transfer function method based on the three dimensional gradient amplitude is proposed. Edge detection and denoising segmentation are employed to obtain the complete edge structure of the interested area. The distance between the image sequences pixels and the edge in the body data is calculated, so that the framework can be formed with the distance data brought into the Kindlmann transfer function. Therefore, a new transfer function is achieved. The comparison experiment with semi-automatic transfer function …


Effect Of Rail Fracture On Train Shunt-Circuit Current Envelope, Youpeng Zhang, Zhao Jian, Bin Zhao Jan 2019

Effect Of Rail Fracture On Train Shunt-Circuit Current Envelope, Youpeng Zhang, Zhao Jian, Bin Zhao

Journal of System Simulation

Abstract: To analyze change rules of train shunt-circuit current amplitude envelope under the track circuit crack state, a distributed parameter equivalent mathematic model of ZPW-2000A track circuit crack state was constructed based on the transmission theory; and the effect of ballast resistances, the crack points and the crack equivalent impedances on train shunt-circuit currents amplitude envelope were studied using MATLAB. Experiment results show that the ballast resistance, the crack point and the crack equivalent impedance have great influence on train shunt-circuit current amplitude envelope before crack point; and the train shunt-circuit current amplitude envelope occurs discontinuity at the crack …


Modeling And Simulation Of Initial Loading Balls And Replenishing Balls Of The Duplex Inlet & Outlet Coal Mill, Junjie Gu, Yukun Wang, Zhizhong Bai Jan 2019

Modeling And Simulation Of Initial Loading Balls And Replenishing Balls Of The Duplex Inlet & Outlet Coal Mill, Junjie Gu, Yukun Wang, Zhizhong Bai

Journal of System Simulation

Abstract: To solve the problems of excess of abrasion of steel balls and high power consumption used for grinding of the duplex inlet & outlet coal mill, a method that can calculate the initial balls loading, the period and quantity of adding balls for the mill is presented on the basis of building up the models of steal balls’ abrasion and motion. Setting #E coal mill as example, period and quantity of adding balls are confirmed accurately in consideration of variation of power, the maximum capacity and fineness of coal powder, compensatory quantity of each grade of balls are also …


Blind Equalization Algorithm Of Variable Segment Error Function Based On Catfish Effect Particle Swarm Optimization, Yecai Guo, Jiping Wu Jan 2019

Blind Equalization Algorithm Of Variable Segment Error Function Based On Catfish Effect Particle Swarm Optimization, Yecai Guo, Jiping Wu

Journal of System Simulation

Abstract: In order to overcome the disadvantage of the slow convergence rate and big steady state error of constant modulus algorithm (CMA), a variable segment error constant modulus blind equalization algorithm based on the catfish effect particle swarm optimization algorithm (CEPSO-VSCMA) is proposed. The algorithm introduces catfish effect particle swarm optimization on the base of VSCMA, finding the globally optimal solution with the global searching of particle swarm. Meanwhile, vibrant and competitive catfish individual are employed to reactivate particle swarm and accelerate convergence. The simulation results show that the proposed algorithm performs better in improving convergence rate, decreasing inter-symbol …


Method Research On Collaborative Simulation Of Multi-Resolution Models, Gaofeng Zhang, Yujie Ji Jan 2019

Method Research On Collaborative Simulation Of Multi-Resolution Models, Gaofeng Zhang, Yujie Ji

Journal of System Simulation

Abstract: The collaborative simulation of multi-resolution models is an effective method to meet the requirement of “wide-area confrontation and local high imitation” in combat simulation. The generalized supporting platform for multi-resolution models collaborative simulation is constructed, and the collaborative simulation mechanism with mirror entity and control right dynamic migration as core technology is proposed, which can effectively solve the problem of interconnection and homomorphic mapping between multi-resolution models, as well as collaborative operation consistency issues. Under the support of this technique, the joint operation among different resolution models in a tactical deduction simulation system is stable, efficient and consistent. This …


Research On Inner And Outer Loop Control Of Active Suspension With Linear Motor, Farong Kou, Fang Tao, Ren Quan, Chen Long Jan 2019

Research On Inner And Outer Loop Control Of Active Suspension With Linear Motor, Farong Kou, Fang Tao, Ren Quan, Chen Long

Journal of System Simulation

Abstract: In order to improve the dynamic performance of active suspension with linear motor, the control strategy of LQR control and quasi proportional resonance control was designed. A two-degree-of-freedom vehicle model with active suspension and a linear motor mathematical model were established, and the correctness of the linear motor model was verified by experiments. The influence of the inner loop controller parameters on the controller performance and the response characteristics of the linear motor were analyzed by Matlab/simulink, and the parameters of the inner and outer loop controller were determined. The PID control and quasi proportional resonant control were …


Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji Jan 2019

Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji

Journal of System Simulation

Abstract: High accuracy identification of parameters in Permanent magnet synchronous motor (PMSM) is the basis of controller design. According to the drawbacks of slow speed, big error, and small number of parameters in particle swarm optimization (PSO), least square method, and classical coral reefs optimization (CRO), an improved CRO with Cauchy and Gaussian mutation is proposed to solve the parameter identification problem in PMSM. The mathematical model of PMSM in dq coordinate system is established. The Cauchy and Gaussian mutation operator is introduced to CRO. Both of the two versions are applied for identifying parameters in PMSM, and are …


Multi-Objective Optimization Of The Main Circuit And Control Parameters Of The Buck-Boost Matrix Converter, Xiaoping Zhang, Wenhao Song, Hongping Zhu Jan 2019

Multi-Objective Optimization Of The Main Circuit And Control Parameters Of The Buck-Boost Matrix Converter, Xiaoping Zhang, Wenhao Song, Hongping Zhu

Journal of System Simulation

Abstract: The optimization of main circuit parameters and control parameters of the Buck-Boost matrix converter has been investigated. The study takes the main circuit parameters and control parameters as optimization object and takes the harmonic distortion of output voltage, capacitance voltage deviation and inductance current deviation of the converter as optimization target. Firstly, multi-objective optimization satisfaction function is established correspondingly. Meanwhile, the fitness function is built and solved to achieve a set of optimizing parameters based on the fruit fly algorithm, which makes each optimizing target achieve synergistic optimal. Finally, the optimization effect is verified by simulation. The results show …


Inputting Strategy Simulation Of Multi-Ramp Coordinated Control Signal For Urban Expressway, Mingbao Pang, Zemin Xia, Yanhai Luan Jan 2019

Inputting Strategy Simulation Of Multi-Ramp Coordinated Control Signal For Urban Expressway, Mingbao Pang, Zemin Xia, Yanhai Luan

Journal of System Simulation

Abstract: Based on the analysis of the driver's reaction when the urban expressway is in traffic jamming state and stated preference survey (SP) investigating, the key parameters' variation trends when the driving behavior adjusts and the possible path changing probability for a driver in each state are determined. A cellular automaton model of coordinated control section on urban expressway is established, where the driving behaviors are described accurately. The characteristics of traffic flow is discussed via the simulation experiments after inputting coordination control signals with different on-ramp numbers upstream of jamming point. The effects of each coordinated control modes on …


Design Of Remote Medical Care Service Robot System, Yulin Xu, Chen Ling, Li Xin, Aolei Yang, Yanran Long, Chunli Zhu, Yanbo Liu, Yuzhang Jin Jan 2019

Design Of Remote Medical Care Service Robot System, Yulin Xu, Chen Ling, Li Xin, Aolei Yang, Yanran Long, Chunli Zhu, Yanbo Liu, Yuzhang Jin

Journal of System Simulation

Abstract: This paper introduces a service robot system for remote medical inspection. The robot is developed with the following functions: it is able to navigate in working area autonomously and be controlled remotely by doctors through a handheld terminal device; it is able to follow a fixed target such as nurses and doctors to reach any area; it has a touch-control interactive interface which can realize remote audio and video interaction between doctors and patients; it is embedded with portable type-B ultrasonic device, sphygmomanometer and thermometer for doctors to obtain physiological data of patients. With the above-mentioned functions, the robot …


Intelligent Diagnosis Of Aircraft Electrical Faults Based On Rmbp Neural Network, Lishan Jia, Zhe Liu, Sun Yi Jan 2019

Intelligent Diagnosis Of Aircraft Electrical Faults Based On Rmbp Neural Network, Lishan Jia, Zhe Liu, Sun Yi

Journal of System Simulation

Abstract: To the characteristics of multiple properties, hard to remove and high cost of time and manpower of aircraft electrical faults maintenance in aircraft maintenance of civil aviation, construction of intelligent aircraft electrical faults diagnosis system using RMBP neural network is proposed. RMBP algorithm is used to study sample data in the intelligent faults diagnosis system as it can overcome the faults of long time of convergence and easy to go into local minima of common BP algorithm, and is suitable for training large-scale neural network,. Experience data are collected, samples are made, samples training and experiment are carried out. …


Complex Network Modeling And Visualization Analysis For Ocean Observation Data, Sun Xin, Zhenhua Li, Junyu Dong, Xinyan Luo, Yuting Yang Jan 2019

Complex Network Modeling And Visualization Analysis For Ocean Observation Data, Sun Xin, Zhenhua Li, Junyu Dong, Xinyan Luo, Yuting Yang

Journal of System Simulation

Abstract: Ocean data analysis is one of the important foundations in marine science research. Analysis on the sea surface temperature based on complex network theory helps explore the marine dynamics in a new perspective. The ocean is divided into grids, and the annual average of the sea surface temperature is calculated to reflect the properties of the corresponding grid area. The mutual information and the Pearson correlation coefficient are used to measure the similarity between different areas. The nonlinear and linear complex network models which reflect the station of the global marine climate can be built. Finally some popular measures …


Mesh Morphing Process For Facial Plastic Surgery Simulation, Jinfang Li, Rifu Li, Hanwu He, Junlong Xu, Jiayuan Liu, Li Hang Jan 2019

Mesh Morphing Process For Facial Plastic Surgery Simulation, Jinfang Li, Rifu Li, Hanwu He, Junlong Xu, Jiayuan Liu, Li Hang

Journal of System Simulation

Abstract: In order to present the result of facial plastic surgery accurately, we propose a mesh morphing process method based on the grayscale texture in this paper. A grayscale texture is created by selecting the region of interest (ROI), and a set of texture coordinate is computed for the vertices in real time to establish the mapping relationship between the vertices and the grayscale texture. In order to make the morphing smooth, we blur the grayscale texture with the mean blurred processing algorithm and control the blur effect by the number of iterations. The advantages of this algorithm are as …


Real-Time Video Webgis With Virtual-Reality Fusion, Yihao Yu, Tan Chong, Zhou Zhong, Wu Wei Jan 2019

Real-Time Video Webgis With Virtual-Reality Fusion, Yihao Yu, Tan Chong, Zhou Zhong, Wu Wei

Journal of System Simulation

Abstract: At present, smart cities have already become an important trend of urban governance in the information era. As an effective display method to the smart cities, augmented virtual environment technology has long been a common concern of researchers. However most of current augmented virtual environment technologies have the disadvantages of high hardware requirements, poor cross-platform capability, so it is difficult to promote to the common users. To solve this problem, in this paper, we put forward a fusion method based on WebGL, which combines the real-time monitor video stream with the 3D geographic scene, resulting in an augmented …


Master-Slave Control Method Of Dexterous Hands Based On Data Glove, Kangjun Pan Jan 2019

Master-Slave Control Method Of Dexterous Hands Based On Data Glove, Kangjun Pan

Journal of System Simulation

Abstract: With the limitations of artificial intelligence, automatic control, and sensor, the dexterous hand in unstructured environments is still very difficult to achieve fully autonomous operation. A master-slave control method of dexterous hands with the combination of data glove and stepper motors is proposed. By the CybergloveII device, human finger joints’ motion data is gathered in real time, then, the motion data are matched to the dexterous hand’ joints respectively. A communication protocol is designed to transfer the motion data between the PC and the ICB. Lastly, the motion data are transferred to the ICB through a serial interface and …


Simulation Optimization Design Method Of Model Driven Aviation Command And Support System, Yongliang Luo, Zhihui Zhang, Zhang Jun, Yuanhui Qin Jan 2019

Simulation Optimization Design Method Of Model Driven Aviation Command And Support System, Yongliang Luo, Zhihui Zhang, Zhang Jun, Yuanhui Qin

Journal of System Simulation

Abstract: As a typical complex system, the design process of air command and security system (ACSS) is different from the existing design process of complex system because of more typical characteristics, such as functional complexity, process complexity and scene complexity. According to the design requirements of ACSS, a simulation optimization design method of model driven and process centered ACSS based on the theoretical method of system engineering is proposed, and the key enabling technologies are introduced, which include model-driven multi-view architecture design, process traction simulation of ACSS, efficient resource optimization and allocation technology, and so on. The simulation and …


Construction And Utilization Of Simulation Meta-Model Based On Influence Diagram Game, Zhong Lin, Mingan Tong, Li Sheng Jan 2019

Construction And Utilization Of Simulation Meta-Model Based On Influence Diagram Game, Zhong Lin, Mingan Tong, Li Sheng

Journal of System Simulation

Abstract: To overcome the shortcomings of the meta-model, the dynamic influence diagram game is used as simulation meta-model. A construction process and the utilization for structured dynamic influence diagram game (DIDG) are presented. The necessary simulation data are gathered for the construction of a DIDG that presents the changes in simulation state with chance nodes. The decision alternatives and objectives of the decision problem are included in the DIDG as decision and utility nodes. The adversary’s action is represented by an explicit decision node in which case an influence diagram game results. The constructed DIDG is solved to …


Adaptive Feedback Elitist Teaching-Learning-Based Optimization Algorithm, Rongyu Li, Liang Dong, Guihong Qi Jan 2019

Adaptive Feedback Elitist Teaching-Learning-Based Optimization Algorithm, Rongyu Li, Liang Dong, Guihong Qi

Journal of System Simulation

Abstract: Elitist teaching-learning-based optimization (ETLBO) is a novel optimization algorithm based on the practical teaching-learning process of the class. An adaptive feedback elitist teaching-learning-based optimization (AFETLBO) algorithm is proposed to solve the problem of low precision and poor stability of the ETLBO. At the end of the learner phase, student can be divided into the top students and the inferior students dynamically by adding the adaptive feedback phase. In this phase, the inferior students should communicate with the teacher and enable themselves to be close to the teacher quickly so as to strengthen the convergence ability. The top students should …


Image Classification Based On Sparse Autoencoder And Support Vector Machine, Liu Fang, Lixia Lu, Hongjuan Wang, Wang Xin Jan 2019

Image Classification Based On Sparse Autoencoder And Support Vector Machine, Liu Fang, Lixia Lu, Hongjuan Wang, Wang Xin

Journal of System Simulation

Abstract: A new algorithm of image classification based on the sparse autoencoder and the support vector machine was proposed in view of the drawbacks that the single layer sparse autoencoder for feature learning is easy to lose the deep abstract feature and the features lack the robustness. The deep sparse autoencoder is constructed to learn each image layer and the feature of each layer is automatically extracted. The each feature weights and the reorganized set of feature are obtained according to the feature weighting method. By combining the strong global search ability of genetic algorithm and the excellent performance of …


Quadrotor Attitude Control Based On An Improved Adrc, Wang Biao, Chaoying Tang, Daqing Kong Jan 2019

Quadrotor Attitude Control Based On An Improved Adrc, Wang Biao, Chaoying Tang, Daqing Kong

Journal of System Simulation

Abstract: An improved attitude control scheme for the quadrotor is proposed based on active disturbance rejection control (ADRC). The attitude dynamics of the quadrotor is modelled and analysed. The influence of actuator characteristics is discussed to establish an extended state observer (ESO). Based on it, the ESO is compensated by the delay unit and its discrete state equations are given. Nonlinear function of previous studies is used to construct nonlinear state error feedback (NLSEF). The simulation results show that the ESO with compensation of the delay unit gets better estimation of disturbance and compensates to disturbance better than the ESO …


Research On Concession Period Performance Of Highway Ppp Project Based On Pavement Maintenance, Zhang Hong, Rongbei Zheng, Wenshan Qiao Jan 2019

Research On Concession Period Performance Of Highway Ppp Project Based On Pavement Maintenance, Zhang Hong, Rongbei Zheng, Wenshan Qiao

Journal of System Simulation

Abstract: There are long-term dynamic and interactive relationships among highway pavement performance, user satisfaction, maintenance costs and profits, government satisfaction and related decisions in the life cycle pavement maintenance. Based on analyses of dynamic impacts and complexity of stakeholders’ behaviors around the highway pavement maintenance, a system dynamics (SD) model of the concession period performance for the highway public-private-partnership (PPP) project is established. Based on simulation experimental analysis of an example, validation and application of the proposed SD model are illustrated. Through sensitivity analysis, the influences of different stakeholders such as government, private investors, and users on the concession …


Current Sensor Fault Diagnosis For Induction Motor In Vector Control System, Sun Kai, Baina He, Sarah Odofin, Gu Yu Jan 2019

Current Sensor Fault Diagnosis For Induction Motor In Vector Control System, Sun Kai, Baina He, Sarah Odofin, Gu Yu

Journal of System Simulation

Abstract: A current sensor fault diagnosis method of induction motor in vector control system is proposed. A state-space form including sensor faults and environmental disturbances/noises of induction machine is described. An augmented observer is designed to simultaneously estimate system states, and current sensor faults. To attenuate the effects from the environmental disturbances/noises, a genetic algorithm is employed to design observer gain by minimizing the estimation error against environmental disturbances and noises. A simulation model based on Matlab and real-data of the induction motor collected by experiment is utilized to validate the proposed methods, which show the efficiency of the proposed …