Comparative performance analysis of different controllers for a nonlinear multivariable system

摘要

In the process industry, PID controllers are commonly used for control applications. PID controllers are simple and easy to construct. It provides more flexibility and stability while controlling the processes. The determination of proportional, integral and derivative constants KP, Ki and Kd are known as tuning of PID controller. Tuning of PID controller gains are easy if the system is a linear system. But many industrial plants are nonlinear systems. They have the problems such as higher order, instability, time delays, harmonics, poor damping and time-varying dynamics etc. Hence the perfect tuning of multi-loop multivariable PID controller for nonlinear process is a challenging work. This paper describes a comparative analysis of optimal tuning algorithms called simulated annealing algorithm and artificial bee colony algorithm used to tune the multivariable proportional integral derivative (PID) controller parameters for a non linear system. Better performance of SA-PID and ABC-PID controller are studied and compared.