Genetic Algorithm Based Pid Controller Tuning for Servo Systems

This book presents a rigorous and systematic investigation into the optimization of Proportional-Integral-Derivative (PID) controllers for industrial servo systems using Genetic Algorithm (GA) optimization techniques. The work bridges classical control theory with modern evolutionary computation, offering both a comprehensive review of existing PID tuning methodologies and a detailed exposition of how biological-inspired optimization can yield superior control performance. It presents a comprehensive study based on a research project in the field of Control Systems Engineering, with a primary focus on the comparative analysis of various PID controller tuning techniques for servo systems. The research aims to investigate the effectiveness, stability, and performance characteristics of conventional and intelligent tuning approaches in achieving optimal control response for servo-driven applications.