The proportional-integral-derivative (PID) controller is tuned to find its parameters values. Generally most of the tuning methods depend mainly on the experimental approach of open-loop unit step response. The controller parameters can be found if the system truly can be approximated by First Order Plus-Dead Time (FOPDT). The performance of most of them deteriorates as the ratio of approximate...

Abstract: Continuous Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper gives the demonstration about the temperature control of CSTR reactor using a fuzzy PID controller to meet the desire...

In this paper, a parallel structure of fuzzy PID control systems is proposed. It is associated with a new tuning method which, based on gain margin and phase margin speci"cations, determines the parameters of the fuzzy PID controller. In comparison with conventional PID controllers, the proposed fuzzy PID controller shows higher control gains when system states are away from equilibrium and, at...

Fuzzy PID controllers provide a promising approach for industrial applications with many desirable features. However, the large number of parameters and rule bases make self-tuning fuzzy PID controller optimization a complex task. In this paper, a novel tuning method based on the development of the standard particle swarm optimization (PSO) is proposed for optimum design of fuzzy PID controller...

This paper presents a way that fuzzy logic can be used in high level control functions. Specifically, we examine the use of fuzzy logic in supervisory control, for selecting discrete control actions, identifying the operating environment and evaluating controller performance. Proportional integral derivative (PID) controllers are widely used in excitation control of power systems, they exh ibit...

Recently, interest in microgrids, which are composed of distributed generation (DG), distributed storage (DS), and loads, has been growing as a potentially effective clean energy system to mitigate against climate change. The microgrid is operated in the grid-connected mode and the islanded mode according to the conditions of the upstream power grid. The role of the energy storage system (ESS) ...

Abstract. A Fuzzy-PID controller is designed for tracing reference cutting forces in grinding by integrating a high performance fuzzy controller and an easy to use PID controller. When the error of the grinding force is large, in order to respond quickly, the fuzzy controller with a self-tuning factor is adopted and the Max-Proc strategy is also used. This will be good for fuzzy reasoning. If t...

The goal of this study was to design a practical fuzzy controller of the cycle-to-cycle control for multi-joint movements of swing phase of functional electrical stimulation (FES) induced gait. First, we designed three fuzzy controllers (a fixed fuzzy controller, a fuzzy controller with parameter adjustment based on the gradient descent method, and a fuzzy controller with parameter adjustment b...

The paper describes the Fuzzy–PID cascade controller to control the level of horizontal tank that has diameter 300 mm and 480 mm long. Interface card module PCI-6024E in computer and Lab View software program is used for built the cascade controller. Structure of its where the inner loop is a PID controller for regulating flow rate of system and outer loop is a Fuzzy logic controller for contro...

A fuzzy PID controllers are physically related to classical PID controller. The settings of classical controllers is based on deep common physical background. Fuzzy controller can embody better behaviour comparing with classical linear PID controller because of its non linear characteristics. Well tuned fuzzy controller can be also more stable and more robust for the time varying systems. On th...