High Performance Speed Sensorless Finite-Set Predictive Thrust Control of a Linear Induction Motor based on MRAS and Fuzzy Logic Controller

An improved finite-set predictive thrust control (FSPTC) is proposed in this paper, in which the fuzzy logic control (FLC) is applied instead of PI control in both speed control loop and adaptation mechanism of the model reference adaptive system (MRAS) with a lower number of membership functions to reduce the computation time. The MRAS observer based on primary flux linkage is implemented to estimate the linear speed. The output of the FLC serves as the reference thrust of the FSPTC while as speed in the MRAS observer. The developed control targets are to improve the characteristics of the drive system, where a significant ripple reduction in thrust and primary flux linkage, fast dynamic response, and lower cost can be guaranteed. Comprehensive simulation results have demonstrated the effectiveness of the proposed method based on one arc induction machine with 3kW rated power.