In this paper, the immune controller, is used to control the paralleled DC-DC converters. A PID controller is first applied and its coefficient is optimized using an intelligent (PSO) algorithm. Immune controller is then added to PID controller and an immune PID controller is formed. Two methods have been suggested to determine non-linear behavior of immune controller. In the first method, an e...

This chapter focuses on the automatic control of the drying processes in food industry. It explains why and when these techniques can help. Then it makes a critical review of the different studies found in the bibliography and emphasizes pros and cons. On the basis of the corn drying example, different strategies, with increasing complexity, are compared : PID, non linear PID, non linear LQG, n...

This paper presents modeling and control of highly non linear system using manual pid and honeywell pid controller. Interacting two tank hybrid system (ITTHS) is considered as benchmark problem in this paper, where the aim is to control liquid level of tank. Control of liquid level in ITTHS is highly challenging due to variation in the area of cross section. The modeling of such hybrid systems ...

A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems . The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, a PID structure based pole (only) placement controller, or a PID structure base...

This paper presents a review study of PID and fuzzy logic controller for level control of the tank. PID controller is widely used in industries for level control and non-linear system but tuning of PID controller is difficult and it use a mathematical model of the system which is also difficult to find for highly nonlinear system. Fuzzy logic controller use linguistic method to control the syst...

The traditional control strategy based on PID controllers may be unsatisfactory when dealing with processes with large time delay and constraints. This paper presents a supervisory model based constrained predictive controller (MPC) for a combined cycle power plant (CCPP). First, a non-linear dynamic model of CCPP using the laws of physics was proposed. Then, the supervisory control using the l...

In this work, we focus on the problem of monitoring and retuning of low-level proportional-integralderivative (PID) control loops used to regulate control actuators to the values computed by advanced model-based control systems like model predictive control (MPC). We consider the case where the realtime measurement of the actuation level is unavailable, and thus PID controller monitoring has to...

Product-sum-type fuzzy controllers are known to have similar characteristics to PD-type controllers. In the case of type-0 control systems, PID-type fuzzy controllers have been proposed in the literature in order to eliminate the steady-state error. However, these control methods, essentially based on conventional PID theory, have no predictive capabilities. The concept of grey system theory, w...