Certain investigations on model based controller design to improve the closed loop performance of industrial control systems using intelligent techniques

Abstract

Control engineering is one of the cornerstones of industrial automation that has contributed more to the development of modern industrial society. Real world industrial processes are inherently nonlinear in nature over a wide range of operating conditions and most of them are multivariable in nature with complex interactions. Hence it demands sophisticated control strategies to meet the rigorous design specifications of nonlinear and multivariable control systems. Majority of applications in industrial automation are still dominated by PID controllers and there have been a number of advances in conventional PID controllers in recent years. But there are some limits beyond which PID controllers can no longer guarantee the required control quality or bring about stable behaviour especially while controlling the processes with very high time constants, highly non-linear behaviour or significant interactions. Model based controllers provide the competitive edge needed to meet such challenges and ensure efficient operation and reliability of industrial control systems. newline