A Study on PI and Fuzzy PI Controllers (original) (raw)

A multiobjective fuzzy PI controller based on genetic algorithm

Australasian Emergency Nursing Journal, 2003

This paper presents a fuzzy proportional-integral (PI) controller, which is a discrete-time version of a conventional PI controller. The data base as well as the constant PI control gains are optimized by using a genetic algorithm according to the following design specifications: minimizing the overshoot, the settling time and smoothing of the output curve. Thus, the optimization problem close to a multiobjective optimization one, resulting in an optimal fuzzy PI controller. Simulation results are shown to demonstrate the improvement over a conventional one.

Design and implementation of the fuzzy PID controller using MATLAB/SIMULINK model

In many industries, various types of motion control system used to control various applications. These motion control systems are nothing but the DC Motors. DC motors have high efficiency, high torque and low volume. This paper proposed PID controller with fuzzy technology. i.e. fuzzy PID controller, here we are analyze the performance of the conventional PID controller using the MATLAB/SIMULINK model.

Development of a Matlab-Based Fuzzy PID Controller and The Simulation

International Journal of Engineering Continuity

Fuzzy PID control is a process control technique combining the advantages of fuzzy logic and PID control. It maintains precise control over processes by combining fuzzy logic and proportional-integral-derivative (PID) controllers. With this method, it is possible to achieve higher levels of accuracy and stability in controlling process variables such as temperature, pressure, flow rate, and position. This makes Fuzzy PID control an ideal cordial application requiring precise process control. Fuzzy PID control uses the PID parameter tuning experience to make the fuzzy controller automatically tune its parameters, giving PID control a better control effect. In this paper, a fuzzy PID controller is designed to control the temperature of an electric boiler. The control effects of PID control, fuzzy control, and fuzzy PID control are compared by simulation analysis. The simulation results show that the unclear PID control effect is ideal and has a good application prospect.

Fuzzy Adaptive Pi Controller for Single Input Single Output Non-Linear System

2012

The proposed fuzzy adaptive PI control algorithm is designed for non-linear level process to improve the control performance better than the conventional PI controller. The conventional PI controller works well only if the mathematical model of the system could be computed. Hence it is difficult to implement the conventional PI controller for variable as well as complicated systems. But fuzzy logic control does not require any precise mathematical model and works good for complex applications also. In this paper, a two input and two output fuzzy adapting PI controller is designed to control the chosen non-linear level process.