TUNING AND DESIGN OPTIMIZATION OF PID CONTROLLER FOR A PLANT

Abstract

The principal objective of this project work is to minimize and optimize the tuning and design algorithm for a PID controller without compromising with system parameters for example settling time, stability, and frequency instability. There are number of design techniques exist for a stable PID controller. Every design techniques have their own merits and demerits. The most promising and challenging problem is to find out the appropriate value of ,  and  for a higher order systems [1]. The presented work considers genetic algorithm for finding the solution and improve the technique to optimize the tuning of a PID controller for a plant. It further extended to use in design and optimization systems used PID controllers. Presented work ease the complexity of PID tuning and determines ,    for any given transfer function of any order without going into detailed analysis and synthesis of the system, without compromising on system performance. All the analysis has done in MATLAB. The script and model windows are used for testing and simulations. The most popular methods of tuning of PID controllers “Ziegler- Nichols-Method (ZNM), Cohen-Coon-Method (CCM), Genetic-Algorithm-Method (GAM)” are also tested for the plant and current work found more satisfying with results.

Keywords: PID, FOPDT, ZNM, CCM, PGM, GAM, ITAE