A 2-D fuzzy logic based MRAS scheme for sensorless control of interior permanent magnet synchronous motor drives with cyclic fluctuating loads

Model reference adaptive system (MRAS) is typically employed for rotor position/ speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. The adjustment of control parameters in MRAS is a key issue for IPMSM drive systems with cyclic fluctuating loads. In order to avoid the difficulties involved with manual tuning of the control parameters, a new MRAS scheme based on fuzzy logic is proposed in this paper in which a fuzzy controller replaces the conventional PI regulator. To implement this new MRAS scheme, a two-dimensional (2-D) fuzzy rule is designed. The proposed control scheme is employed in the IPMSM drives with cyclic fluctuating loads such as compressors. In order to lower the motor speed ripple caused by the cyclic fluctuating load, a feed-forward compensation strategy with the load-matching motor output torque pattern is developed. Experimental results demonstrate the feasibility and effectiveness of the proposed fuzzy logic based MRAS scheme with minimal rotor position estimation error.