PSO-Based PID Controller Design for a Class of Stable and Unstable Systems

Abstract

Nonlinear processes are very common in process industries, and designing a stabilizing controller is always preferred to maximize the production rate. In this paper, tuning of PID controller for a class of time delayed stable and unstable process models using Particle Swarm Optimization (PSO) algorithm is discussed. The dimension of the search space is only three (, , and ); hence, a fixed weight is assigned for the inertia parameter. A comparative study is presented between various inertia weights such as 0.5, 0.75, and 1. From the result, it is evident that the proposed method helps to attain better controller settings with reduced iteration number. The efficacy of the proposed scheme has been validated through a comparative study with classical controller tuning methods and heuristic methods such as Genetic Algorithm (GA) and Ant Colony Optimization (ACO). Finally, a real-time implementation of the proposed method is carried on a nonlinear spherical tank system. From the simulation and real-time results, it is evident that the PSO algorithm performs well on the stable and unstable process models considered in this work. The PSO tuned controller offers enhanced process characteristics such as better time domain specifications, smooth reference tracking, supply disturbance rejection, and error minimization.

Optimized Controller Structured to Solve Aircraft Pitch Control Problem

“…It is a derivative free algorithm. The PSO algorithm has two conventional eq uations such as velocity update and position update as represented below [7][8][9][10];…”

Design of PID Controller for SISO and TITO Systems – A Study with Heuristic Algorithms

“…It is a population based evolutionary computation technique, attempts to mimic the natural process of group communication of individual knowledge, to achieve some optimum property. More details regarding the PSO can be found in [2,3].…”

“…In chemical industry, most of the important processing units are highly non-linear in nature and for economical and/or safety reasons, these process loops to be operated in safe regions with the help of a PID controller [1][2][3]. Based on its operating region and its non-linearity, these loops can be modelled as SISO and MIMO systems.…”

Sintonia De Controlador Pid Utilizando Os Métodos R2w E Pso

“…Eles podem ser utilizados como uma ferramenta vital no projeto de controladores clássicos e modificados em uma classe de modelos de processos instáveis (Latha et al, 2013).…”

“…Em literaturas recentes são apresentadas diversas sintonias de controladores PID de sistemas de uma entrada e uma saída (SISO) utilizando algoritmos evolucionários como os de algoritmos genéticos (Ayala e Coelho, 2012;Bindu e Namboothiripad, 2012;Zhang et al, 2009), o algoritmo de otimização de colônia de formigas (Coelho e Bernert, 2010;Tomera, 2014), otimização em espiral (Nasir et al, 2012), multi-parâmetros divergentes (Alagoz et al, 2013), e enxame de partículas (Greco et al, 2014;Jaafar et al, 2012;Latha et al, 2013).…”