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Full-Text Articles in Computer Engineering
Sensorless Control Of Pmsm Based On An Anfis Optimized Flux Sliding Mode Observer, Huilin Zhang, Yujie Jin, Haima Yang
Sensorless Control Of Pmsm Based On An Anfis Optimized Flux Sliding Mode Observer, Huilin Zhang, Yujie Jin, Haima Yang
Journal of System Simulation
Abstract: Aiming at the low estimation accuracy of rotor speed and position and the system chattering in sensorless control of permanent magnet synchronous motor (PMSM), an adaptive neuro-fuzzy inference system (ANFIS) is proposed to optimize the flux sliding mode observer(FSMO). Compared with the traditional sliding mode observer, the FSMO improves the estimation accuracy of the rotor flux. The FSMO optimized by ANFIS realizes the on-line adjustment of the observer gain and reduces the system chattering. The improved PLL improves the estimation accuracy of the rotor speed and position. A simulation platform is established to verify the results which show …
An Improved Differential Evolution Algorithm For Fractional Order System Identification, Yu Wei, Henghui Liang, Luo Ying
An Improved Differential Evolution Algorithm For Fractional Order System Identification, Yu Wei, Henghui Liang, Luo Ying
Journal of System Simulation
Abstract: In order to build a high-precision fractional-order model, which needs to identify more parameters, an improved differential evolution algorithm is proposed for the identification of fractional-order systems. In the mutation strategy, the basis vector is randomly selected from the optimal individual population, and the scaling factor and cross-probability factor are adaptively adjusted according to the information of the successfully mutated individual during the search process to improve the exploration and mining capabilities of the algorithm. By solving the five test functions, the improved algorithm is proved to have strong solving ability. Taking the fractional-order model of permanent magnet synchronous …
Neural Network Optimized Sensorless Permanent Magnet Synchronous Motor Control System, Lixin Ma, Yongjie Zhu, Leyan Ji
Neural Network Optimized Sensorless Permanent Magnet Synchronous Motor Control System, Lixin Ma, Yongjie Zhu, Leyan Ji
Journal of System Simulation
Abstract: In order to solve the poor accuracy of the speed and rotor position of permanent magnet synchronous motor caused by sensor, a sensorless control system is proposed to calculate the speed and rotor position of PMSM with extended Kalman filtering algorithm. BP neural network algorithm is used to optimize the covariance matrix Q and R of EKF, which improves the accurate calculation values of rotational speed and rotor position. At the same time, the speed sliding mode controller combined with the current feed-forward decoupling unit are used to improve the stability of the whole control system. The simulation results …
Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping
Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping
Journal of System Simulation
Abstract: In order to effectively restrain the chaotic behavior of permanent magnet synchronous motor, an adaptive controller is designed based on finite time theory and LaSalle invariant set theorem. The chaotic dynamics characteristics of the permanent magnet synchronous motor system are analyzed, and the parameter fields of the system in different motion states are determined. It is proved theoretically that the controller can stabilize to the equilibrium point in finite time and can automatically track the equilibrium point of the system. Simulation results show that the control scheme is concise, faster and more stable. The research results are of great …
Fractional Order Internal Model Control Of Pmsm Speed Servo System, Zhicheng Zhao, Sang Hai, Jinggang Zhang
Fractional Order Internal Model Control Of Pmsm Speed Servo System, Zhicheng Zhao, Sang Hai, Jinggang Zhang
Journal of System Simulation
Abstract: A design method of fractional order (FO) internal model controller for permanent magnet synchronous motor (PMSM) speed servo system was proposed. The simplified mathematical model of speed servo system was built. Based on internal model control (IMC) principle, the FO internal model controller was deduced by using the FO filter to replace the integer order one. The proposed controller contained only two adjustable parameters, and the defects of the fractional PIλDμ controller tuning method were effectively overcome. Moreover, the dominant pole was selected according to the time domain performance indicators of the system, and an analytical …
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
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 classical particle swarm optimization (PSO) and least square method, Coral Reefs Optimization (CRO) was proposed to solve the parameter identification problem in PMSM. In order to improve the identification accuracy, the parameter setting in CRO was adjusted. The mathematical model of PMSM in coordinate system was established, CRO, PSO and RLS were applied to identify parameters in PMSM, and were verified in Matlab/Simulink for comparison. The simulation …
Fault Diagnosis Method Of Pmsm Based On Adaptive Dynamic Cat Swarm Optimization Of Svm, Wang Yan, Wang Xin, Zhicheng Ji, Dahu Yan
Fault Diagnosis Method Of Pmsm Based On Adaptive Dynamic Cat Swarm Optimization Of Svm, Wang Yan, Wang Xin, Zhicheng Ji, Dahu Yan
Journal of System Simulation
Abstract: In order to solve the problems of common inter-turn short circuit faults of permanent magnet synchronous motor (PMSM), a corresponding motor fault model based on the existing basis of PMSM is established. The eigenvector is extracted by energy spectrum analysis. The penalty factor and RBF-kernel parameter of SVM are optimized by adaptive dynamic cat swarm optimization (ADACSO) algorithm. The optimized SVM is adopted to motor fault diagnosis. The eigenvector obtained by energy spectrum analysis is taken as sample data to conduct simulation experiment. The experiment results indicate that, compared with other optimization algorithms, using ADACSO to optimize …
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to address the common problems of lacking of phase and interturn short circuit fault, after analyzing the basic and corresponding fault model of permanent magnet synchronous motor(PMSM), an improved extreme learning machine (IELM) algorithm was proposed based on self-adaptive second-order particle swarm optimization (SaSECPSO). SaSECPSO employed adaptive inertia weight and cognitive coefficient with linear variation to improve the convergence rate and accuracy of second-order particle swarm optimization (SECPSO). In addition, the recognition rate of extreme learning machine (ELM) when solving the fault model of PMSM could be significantly improved by using SaSECPSO to simultaneously optimize input weights …
Permanent Magnet Synchronous Motor Parameter Identification Based On Improved Teaching-Learning-Based Optimization, Li Jie, Wang Yan, Zhicheng Ji
Permanent Magnet Synchronous Motor Parameter Identification Based On Improved Teaching-Learning-Based Optimization, Li Jie, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. In order to overcome the shortages of traditional identification methods such as slow speed and low identification accuracy, an improved teaching-learning-based optimization algorithm (ITLBO) was proposed to identify the permanent magnet synchronous motor parameters. In the teaching phrase, tutorial teaching mechanism was introduced to strengthen teacher's capacity and improved the convergence rate of algorithm, in the learning phrase, the course stepwise learning was used to improve learners' learning efficiency. Besides, opposition-based-learning was introduced for small probability mutation, which enhanced the possibility out …
Direct Torque Control Technology For Permanent Magnet Synchronous Motor Based On Svpwm, Yin Xing, Dengke Yuan, Yongcheng Zhen, Zhongshu Shao, Xiangjie Lü
Direct Torque Control Technology For Permanent Magnet Synchronous Motor Based On Svpwm, Yin Xing, Dengke Yuan, Yongcheng Zhen, Zhongshu Shao, Xiangjie Lü
Journal of System Simulation
Abstract: The traditional direct torque control technology of permanent magnet synchronous motor utilizes the results of torque and flux linkage hysteresis comparison, and directly controls the torque by looking up the voltage vector. Though this algorithm is simple, its current waveform distortion and torque ripple is more serious, which is very unfavorable for actual motor control. In this case, by analyzing the shortcomings of traditional direct torque control, SVPWM technology is introduced into direct torque control, and the original look-up table module is replaced by SVPWM module. A simulation model is established for comparative analysis in MATLAB/Simulink, PMSM direct …
The Simulation Of Ac Servo Network Control System, Wang Lin, Chongquan Zhong
The Simulation Of Ac Servo Network Control System, Wang Lin, Chongquan Zhong
Journal of System Simulation
Abstract: The networking trend of AC servo system is becoming more and more remarkable. The research on permanent magnet synchronous motor(PMSM) mainly focuses on the continuous improvement of control strategy. It is rarely combined with solving real network delay and packet loss problems. The vector control strategy of PMSM is studied. In view of the delay and packet loss in the network environment, the mathematical model of network control system (NCS) is derived, and a simulation model based on TrueTime and Simulink is established to simulate the delay and packet loss phenomenon in the network transmission. The results show that …
Sliding Mode Auto Disturbance Rejection Control Of Pmsm Without Speed Sensor, Limin Hou, Yifu Ren, Hengfei Liu, Lin Dong
Sliding Mode Auto Disturbance Rejection Control Of Pmsm Without Speed Sensor, Limin Hou, Yifu Ren, Hengfei Liu, Lin Dong
Journal of System Simulation
Abstract: Aiming at the problem of parameter setting and response speed of the traditional ADRC method, a kind of novel sliding mode auto disturbance rejection speed controller is designed, and a sliding mode adaptive speed control system of PMSM without speed sensor is established. The nonlinear disturbance observer (NDOB) is used to replace the extended state observer (ESO) integrated disturbance estimation. The sliding mode control is introduced in the nonlinear state error feedback control; the sliding mode ADRC current controller and speed controller are designed; and the stability is proved by using Lyapunov theory. The rotor position and speed of …
Predictive Control For Permanent Magnet Synchronous Motor Based On Imc Observer, Zhiling Ren, Zhongbao Zhang, Limin Hou, Guangquan Zhang, Lin Dong, Zhao Xing
Predictive Control For Permanent Magnet Synchronous Motor Based On Imc Observer, Zhiling Ren, Zhongbao Zhang, Limin Hou, Guangquan Zhang, Lin Dong, Zhao Xing
Journal of System Simulation
Abstract: Predictive control strategy is applied to permanent magnet synchronous motor control system, it can achieve fast dynamic response and high-precision tracking control, but depending on the mathematical model of the motor, the load disturbance will affect the control performance of system. A new control method combining an observer based on internal model control (IMC) and predictive control was presented. The inner-loop current controller and the outer-loop speed controller based separately on model predictive control algorithm and deadbeat current predictive control algorithm were designed to form dual-loop predictive control system. An IMC observer is designed to estimate the load disturbance, …
Parameter Identification Of Permanent Magnet Synchronous Motor Based On Mutation Coral Reef Algorithm, Dinghui Wu, Huang Xu, Yawei Quan, Zhicheng Ji
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 …
Pmsm Parameter Identification Using Teaching-Learning-Based Optimization With Levy Flight, Jinbao Chen, Li Jie, Wang Yan, Zhicheng Ji
Pmsm Parameter Identification Using Teaching-Learning-Based Optimization With Levy Flight, Jinbao Chen, Li Jie, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: High precision parameters are the key for permanent magnet synchronous motor to realize high performance control. To overcome the shortages of slow speed and low identification accuracy in traditional identification methods, a novel teaching-learning-based optimization algorithm with Levy flight is proposed to identify the PMSM parameters. The algorithm introduces adaptive teaching factor and self-learning strategy to improve the convergence speed. As for learning phase, a Levy flight stochastic process is introduced to improve the optimization strategy so that the algorithm can enhance the ability to keep the balance between exploration and exploitation. The simulation results show that the novel …
Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen
Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen
Journal of System Simulation
Abstract: Aiming at the coupling problem of current loop in vector control permanent magnet synchronous motor, a complex vector decoupling control strategy based on sliding mode observer is proposed. Based on the traditional sliding mode observer, the introduction of Sigmoid as a switching function and variable sliding mode gain to reduce the high frequency chattering, followed by construction of complex vector PI current regulator, combined with the transfer function of zero pole configuration and stability theory, determine the parameters of PI regulator, the view of rotor position and speed sensor observation information into the complex vector PI current regulator decoupling …