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| Torque Sharing Function Control Strategy for Switched Reluctance Motor Based on Active Disturbance Rejection Sliding Mode Control |
| Li Zonglin1,2,3,4, Chen Hao1,2,3,4, Qi Yong5, Wang Guanjun6, Ge Kai7 |
1. School of Electrical Engineering China University of Mining and Technology Xuzhou 221116 China;
2. International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou 221008 China;
3. International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou 221008 China;
4. Xuzhou Key Laboratory of New Energy Electric Vehicle Technology and Equipment Xuzhou 221008 China;
5. School of Computer Science and Engineering Nanjing University of Technology Nanjing 210094 China;
6. Wuxi Inspection and Testing Certification Research Institute Wuxi 214101 China;
7. Automotive Engineering Research Institute Nanjing Automobile Group Nanjing 211103 China |
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Abstract The research of new energy electric vehicles is currently a hot topic. Switched reluctance motors (SRM) are applied in electric vehicles due to their simple structure, robust fault tolerance, and ease of control. Among them, motor torque ripple and system response speed are critical indicators to measure the performance of motor drive systems. Sliding mode control is a nonlinear algorithm with the advantages of fast response speed and strong robustness, including sliding mode approach law and sliding mode surface. The sign function used in the traditional exponential approach law can cause system oscillation and large chattering in the control system. The smooth function is used instead of the sign function, and the system state variable is introduced to improve control flexibility. At the same time, an improved integral sliding surface is proposed to improve the convergence of the traditional integral sliding surface. Because of the nonlinearity, the motor’s load torque and inherent parameters significantly affect the operation of the motor under variable speed and load conditions. Therefore, the active disturbance rejection extended state observer (ADRESO) is used as a feedforward compensation for the sliding mode speed controller to adjust the uncertain parameters and load torque of the motor. The design of the ADRESO does not require an accurate mathematical model of the motor, and it can ensure the stability of the system under complex operating conditions and has strong robustness.
Experimental results of an actual switched reluctance motor show that under steady-state operating conditions, when the motor load is 0.5 N·m and the set speeds are 500 r/min and 1 000 r/min, the proposed active disturbance rejection sliding mode control (ADRSMC) results in smaller motor pulsation. Under variable speed conditions, when the load torque is 0.2 N·m, the starting time of the system using PI control and traditional sliding mode control is 0.7 s and 0.25 s, and the variable speed response time is 0.65 s and 0.28 s. The starting time of the system with the proposed ADRSMC is 0.07 s, and the variable speed response time is 0.1 s. When the load torque is 0.5 N·m, the starting time of the system using PI control and traditional sliding mode control is 0.95 s and 0.3 s, and the variable speed response time is 0.73 s and 0.5 s. The starting time of the system with the proposed ADRSMC is 0.12 s, and the variable speed response time is 0.13 s. The proposed method reduces motor speed fluctuations under stable operation. Under variable load conditions, when the set speed is 500 r/min, the time for the system to return to the original state with PI control and traditional sliding mode control is 0.38 s and 0.12 s. The response time of the system with the proposed ADRSMC is 0.03 s. When the set speed is 1 000 r/min, the time for the system to return to the original state using PI control and traditional sliding mode control is 0.43 s and 0.33 s. The system’s response time with the proposed ADRSMC is 0.08 s, indicating that the proposed ADRSMC can approach the original speed in a relatively short period.
It can be concluded that the proposed control strategy can effectively reduce the torque ripple of the motor, improve the response time of the system, and enhance the stability of the speed.
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Received: 08 August 2023
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2024, Vol. 39 
