Induction Motor Adaptive Backstepping Control and Efficiency Optimization Based on Load Observer

Chuanguang Chen, Haisheng Yu, Fei Gong and Herong Wu
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Chuanguang Chen: College of Automation, Qingdao University, Qingdao 266071, China
Haisheng Yu: College of Automation, Qingdao University, Qingdao 266071, China
Fei Gong: College of Automation, Qingdao University, Qingdao 266071, China
Herong Wu: College of Automation, Qingdao University, Qingdao 266071, China

Energies, 2020, vol. 13, issue 14, 1-16

Abstract: In this paper, an adaptive load torque observer based on backstepping control is designed, which achieves accurate load estimation where the load is unknown. Based on this, in order to reduce the loss of the motor at low load, a smooth switching strategy of rotor flux based on speed error is designed. According to the real-time speed error of the induction motor, the smooth switching strategy achieves dynamic flux switching. Firstly, when the uncertain load occurs for the first time in the recursive design, the adaptive law of the load is designed, and a novel adaptive load torque observer is obtained, which accurately estimates the uncertain load torque in real time. Secondly, the relationship between the loss and the rotor flux is established by analyzing the loss model of induction motor, and the optimal rotor flux is obtained. The smooth switching control strategy based on speed error is designed to realize the efficiency optimization of induction motor. Finally, the control strategy proposed in this paper is experimentally verified on the LINKS-RT platform. The results show that the proposed control strategy has excellent load disturbance attenuation performance and reduces the energy loss.

Keywords: induction motor; load torque observer; optimal rotor flux; smooth switching; efficiency optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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