Backstepping Control Based SVM-DTC of PMSM for Mechanical Elastic Energy Storage System
Mi Zengqiang1, Zheng Xiaoming1, Yu Yang1, Chang Da1, Sun chenjun2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source North China Electric Power University(Baoding) Baoding 071003 China; 2. State Grid Hebei Electric Power Company Shijiazhuang 050022 China
Abstract：Torque and moment of inertia of the permanent magnet synchronous motor (PMSM) load is simultaneous continuously changing in the process of energy storage in mechanical elastic energy storage (MEES) system. A kind of control system which can track the change quickly and has strong anti-jamming ability is needed under this circumstance. Combining backstepping adaptive control algorithm with direct torque control (DTC) system with the feature of fast-speed response and easy to track control target, which has good steady and transient performance. A single recursive least square (RLS) estimation algorithm with forgetting factor is designed to simultaneously estimate load torque and inertia in this passage firstly, furthermore, an backstepping controller of the rotation angle, speed, torque and flux linkage was designed and finally get the stator voltage in the two-phase stationary coordinate system. At the same time, an adaptive algorithm was added to eliminate the identification error, then the space vector modulation method was applied to generate the switching signals to control the operation of the inverter. Experiment results indicate that the output torque of PMSM can quickly track the load torque, the torque ripples are low, and the energy storage process is stable.
米增强, 郑晓明, 余洋, 畅达, 孙辰军. 机械弹性储能系统中永磁同步电机反推SVM-DTC控制[J]. 电工技术学报, 2017, 32(21): 94-102.
Mi Zengqiang, Zheng Xiaoming, Yu Yang, Chang Da, Sun chenjun. Backstepping Control Based SVM-DTC of PMSM for Mechanical Elastic Energy Storage System. Transactions of China Electrotechnical Society, 2017, 32(21): 94-102.
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2017, Vol. 32 
