Speed Load Control of Induction Motor Using Immune Algorithm and Fuzzy Phase Plane Controller

Abstract

Abstract-This paper proposes a speed load control of induction motor using immune algorithm (IA) and fuzzy phase plane controller. Fuzzy membership functions, phase plane theory and the IA are employed to design the proposed controller (FPPC) for controlling the speed of an induction motor with loading, based on the desired specifications. The proposed FPPC has merits of rapid response, simply designed fuzzy logic control and an explicitly designed phase plane theory. Simulations and experimental results reveal that the proposed FPPC is superior in optimal speed and load control to conventional PI controller.Index Terms-Fuzzy phase plane, immune algorithm, speed load control.

Nonsingular Terminal Sliding Mode Control Based on Sensor-Cloud System for Permanent Magnet in-Wheel Motor

“…In [11], Hu et al have designed a limited-angle torque actuator to reduce the influence of torque disturbances, which can improve the control accuracy of motor. In [12], [13], Fuzzy control strategy has been proposed to get ideal track of the speed of PMIWM, which use the expert's knowledge to weaken the impact of nonlinear system. In [14] Li et al proposed the back-propagation neural network (BPNN) to estimate the dynamic change of motor, but the learning rate and approaching velocity of which cannot meet the need of PMIWM system.…”