Designing the observation sliding mode combined with the PID controller to estimate the speed of the IM optimized by PSO algorithm

Abstract

The paper presents a solution combining the sliding mode observer (SMO) with the PID controller to improve the accuracy of speedy estimation of the induction motor (IM) compared to the original sliding mode observer. The SMO’s advantages include stability and
sustainability, even in noisy environments or when system parameters change over time. In addition, the paper also proposes a new solution to optimize the SMO-PID controller using the particle swarm optimization (PSO) algorithm to increase the accuracy of speedy
estimation compared to the traditional method. The paper covers the SMO algorithm, the SMO speed estimation model for IM motor controlled by the FOC method, the method of combining SMO with traditional PID controller, the SMO-PID controller with optimized parameters by applying PSO algorithm and comparing the results achieved by the two mentioned methods. Simulation results prove that the SMO-PID method using the PSO algorithm has superior advantages over the traditional SMO-PID method.