Abstract
During real-time operation of electric vehicles, motor parameter variations can significantly effect and deteriorate control performances of electric traction drives. For an open-loop torque control system, the parameter mismatch between the electric motor and the controller results in large steady-state error of the output torque response. This paper presents an adaptive torque controller based on Model Reference Adaptive Control technique for Interior Permanent Magnet Synchronous Motor drive systems. The proposed adaptive torque control scheme incorporating with a low-pass filter based torque estimator can provide the robustness against motor parameter variations. The simulation results show that the proposed torque control system using SVPWM-based vector control scheme can meet torque tracking requirements, and minimize steady-state error caused by parameter variations.
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