Speed Control of DC Motor Using PID Controller Based on Changed Intelligence Techniques

Abstract

The objective from this paper is to design speed controller for DC motors by choice of a PID factors using Diverse Methods Ziegler and Nichols (ZN), Genetic Algorithm (GA), Modified Adaptive Acceleration Particle Swarm Optimization (MAACPSO) and Adaptive Neuro-Fuzzy Inference System (ANFIS). All of tuning methods for parameters of PID controller will be compared based on improved performance and effectiveness over them.