1. Fault Tolerant Sensorless Control Strategy With Multi-States Switching Method for In-Wheel Electric Vehicle
- Author
-
Jincai Shao, Zihui Wang, and Zhiyuan He
- Subjects
business.product_category ,General Computer Science ,Computer science ,multi-states switching ,02 engineering and technology ,Fault (power engineering) ,I-F resonant oscillations ,Reliability (semiconductor) ,0203 mechanical engineering ,Control theory ,Electric vehicle ,0202 electrical engineering, electronic engineering, information engineering ,Torque ,General Materials Science ,position sensor failure ,020208 electrical & electronic engineering ,General Engineering ,Process (computing) ,020302 automobile design & engineering ,Failure rate ,Fault tolerance ,In-wheel permanent magnet synchronous motor ,fault-tolerant control ,TK1-9971 ,Electrical engineering. Electronics. Nuclear engineering ,business ,Position sensor - Abstract
The in-wheel electric vehicle with distributed drive units has better stability and flexibility than traditional centralized drives, but may encounter a higher failure rate due to additional actuators and sensors, especially that the faults of the wheel-side position sensor make motor torque out of control. To overcome this problem, a fault-tolerant control strategy with a multi-states switching method is proposed. The strategy judges the sensor failure by verifying redundant speed information, realizes sensorless control schemes by flux-observer based algorithm in high-speed range and I-F control algorithm in low-speed range with low acoustic noise, and applies adaptive transition process between different control schemes. To pursuit high stability, the signal-to-noise analysis for fault judgment due to sensorless estimation accuracy is discussed. Meanwhile, the principle of I-F resonant oscillations during the transition process is initially deduced in detail, and the conclusion of stability condition is obtained. Finally, the influence of system parameters on resonance performance is analyzed by simulation, and the effectiveness and reliability of the proposed strategy for the risk-controlling process are verified by experiments.
- Published
- 2021