Industry applications mainly use linear PID algorithms might deliver an insufficient performance dealing with nonlinear operating systems. A fuzzy PID controller results in a nonlinear control surface which can be adjusted to a controlled plant by rule based modification, nonlinear membership function application and inference rule selection. The tuning process is one of the most difficult step...

PID controllers have been widely employed for industrial processes. Although most process systems have nonlinear properties, the effective PID parameters tuning method for nonlinear systems have not been established yet. Therefore, in this paper, a new tuning method of PID parameters is proposed for nonlinear systems using the idea of a data-based modeling method. According to the proposed meth...

Tuning of PID controllers is a hard task, sometimes that’s almost an art. Different paradigms have been proposed to optimize the tuning of these controllers, some of them have given acceptable results, others have not done it. From heuristics to artificial intelligence have been used, but in this paper we used Type-2 Fuzzy Logic to tuning a PID controller applied in three transfer functions, an...

In order to improve the performance of the hydraulic support electro-hydraulic control system test platform, a self-tuning proportion integration differentiation (PID) controller is proposed to imitate the actual pressure of the hydraulic support. To avoid the premature convergence and to improve the convergence velocity for tuning PID parameters, the PID controller is optimized with a hybrid o...

The ambition of this paper is to design a position controller of a DC motor by selection of a PID parameter using genetic algorithm. The Proportional plus Integral plus Derivative (PID), controllers are most widely used in control theory as well as industrial plants due to their ease of execution and robustness performance. The aspiration of this deed representation capable and apace tuning app...

In this paper, a thorough mathematical analysis is proposed for designing and tuning fuzzy proportional ± integral± derivative (FZ-PID) control in order to achieve a better performance and simpler design. The quantitative model of FZ-PID, derived for the mathematical analysis and gain design, consists of a nonlinear relay and a nonlinear proportional ± integral ± derivative (PID) controller. Th...

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control systems. The proposed method is an offline PID parameter tuning method. Moreover it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numer...

This paper presents a PID tuning technique with the aim to reduce the degradation of the performance for the optimal settings (servo or regulation), when the operating mode of the system is different from the select one for tuning. The above is achieved from the definition of the Performance Degradation concept, that is a way for measuring this kind of loss on both extreme situations of tuning....

Hydraulic Automatic Position Control (APC) is a very important part of rolling mill for magnesium plate rolling. The control effect of automatic position control system influences the quality of the rolled product directly. APC system is an essentially nonlinear, time delay, time-varying, large inertia, multivariable and coupling complex system, which increase the designing difficulty of contro...

In this paper we introduce the different types of the Fractional Order PID controllers and presented some of its application to Industry and robotics Key-Words: Fractional Order Calculus, Differintegration, Fractional Order Controllers, Control Theory, Control Systems, PID controller, tuning, auto-tuning.