The Vector Control of PMSM Based on the Inverse System Theory

2014 ◽  
Vol 494-495 ◽  
pp. 1587-1590
Author(s):  
Rui Shi ◽  
Tai Li ◽  
Ling Kai Kong

Against the existing poor dynamic performance, difficult to adjusting parameters of the controllers issue in PMSMs vector control system, based on the PMSM's dq rotating coordinate model, an inverse system model of PMSM is deduced. And a pseudo linear system realizing the decoupling of the d-axis current and mechanical velocity is constructed. By synthesizing the pseudo linear system, a sliding mode variable structure controller is proposed. In order to estimate rotor's position and speed, a reduced order observer for back electromotive force is proposed. At last some simulations are proceeded to verify the proposed system's performance. The simulation results show that the control strategy mentioned in this paper has good dynamics, steady state performance. Rotors position and speed can be accurately estimated by the proposed method.

2014 ◽  
Vol 668-669 ◽  
pp. 629-632 ◽  
Author(s):  
Zhi Yu Huang ◽  
Jun Bing Chen

As the electric vehicles usually run under complex conditions of city road, there always exists parameter perturbation of motor, which will affect the vehicle performance. To solve the problem, an improved sliding mode variable structure control (SMC) method which combines continuous function and reaching law has been proposed in this paper. Then the improved vector control algorithm’s codes are generated automatically in the MMC (Model-based Motor Control) platform. The results show that the improved SMC algorithm has small chattering and strong robustness to the parameter perturbation and the external disturbances.


Author(s):  
Yanchen Wu ◽  
Yingmin Wang

To control the distance between the side scan sonar and the seabed, a permanent magnet synchronous machine(PMSM) servo system is designed, and the overall structure of the system and the design scheme of each part are presented. The maximum torque per ampere (MTPA) vector control method is adopted to enhance the power factor and dynamic performances of the system, and based on MTPA vector control method, according to the harmful effects of the dynamic load in the servo control of sonar, the sliding mode variable structure (SMVS) vector control method is proposed, and the robustness of the servo system is effectively improved. The mechanism of the MTPA and SMVS vector control method is demonstrated in detail, and their effectiveness is verified.


2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Pei Pei ◽  
Zhongcai Pei ◽  
Zhiyong Tang ◽  
Han Gu

A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.


2012 ◽  
Vol 466-467 ◽  
pp. 709-713
Author(s):  
Jing Liu

Considering the characteristics of vector control system, a speed controller based on fuzzy logic is presented in this paper. Using the fuzzy reasoning, we can update the output of the speed controller real time and handle the uncertain information. Results of simulation are provided to demonstrate that the vector control system of asynchronous motor based on fuzzy controller not only has the feature of simple and easy to be implemented, but also has the dynamic performance and robustness.


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