Adaptive fuzzy logic speed-sensorless control improvement of induction motor for standstill and low speed operations
Purpose - This work proposes a method to improve the estimation performance at standstill and low speed operations of an adaptive fuzzy logic speed-sensorless field-oriented control of an induction motor. Design/methodology/approach - First, the speed estimation algorithm presented in Tursini et aL, which it has been designed to consider constant speed operation, is modified in an attempt to reduce the estimation error. Second, the speed regulation by fuzzy logic controller (FLC) with fuzzy adapted gains (FAG) is proposed for speed regulation. The main features of the proposed algorithm are investigated and compared with those of the algorithm of (Tursini) considering different dynamic operating conditions. Findings - Simulation results clearly show the performance of the proposed algorithm. Originality/value - The proposed scheme is recommended for applications requiring robust speed control and field-orientation even in the presence of some key parameter deviations.
simulation fuzzy control electric motors