Design of Intelligent PID Controller Based on Adaptive Genetic Algorithm and Implementation of FPGA

2008 ◽  
pp. 542-551
Author(s):  
Liguo Qu ◽  
Yourui Huang ◽  
Liuyi Ling
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Adaptive Genetic Algorithm ◽  
Intelligent Pid

Optimal fuzzy PID controller design for an active magnetic bearing system based on adaptive genetic algorithms

2014 ◽  
Vol 24 (5) ◽  
Author(s):  
HUNG-CHENG CHEN
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Controller Design ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Adaptive Genetic Algorithm ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design ◽  
Amb System

We propose an adaptive genetic algorithm (AGA) for the multi-objective optimisation design of a fuzzy PID controller and apply it to the control of an active magnetic bearing (AMB) system. Unlike PID controllers with fixed gains, a fuzzy PID controller is expressed in terms of fuzzy rules whose consequences employ analytical PID expressions. The PID gains are adaptive and the fuzzy PID controller has more flexibility and capability than conventional ones. Moreover, it can be easily used to develop a precise and fast control algorithm in an optimal design. An adaptive genetic algorithm is proposed to design the fuzzy PID controller. The centres of the triangular membership functions and the PID gains for all fuzzy control rules are selected as parameters to be determined. We also present a dynamic model of an AMB system for axial motion. The simulation results of this AMB system show that a fuzzy PID controller designed using the proposed AGA has good performance.

An Approach for the Implementation of Intelligent PID Controller Based on Fast Genetic Algorithm

2015 ◽  
Vol 743 ◽  
pp. 142-145
Author(s):  
E.Z. Song ◽  
N.S.I. Albakirat ◽  
N.F. Mohammed
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Voltage Regulator ◽  
Voltage Response ◽  
Local Minima ◽  
Output Response ◽  
Pid Tuning ◽  
Avr System ◽  
Intelligent Pid ◽  
Tuning Methods

An efficient controller named Intelligent PID is proposed based on hybridization between original PID tuning methods and fast genetic algorithm (FGA) to enhance the transient response of automatic voltage regulator (AVR) in synchronous machine. PID controller has several advantages compared with another controller, but it’s susceptible to the local minima problem and does not give sufficient output response. Therefore, FGA is used here to overcome this problem and to enhance the output response. The performance of the proposed controller is tested and compared with the original PID controller. The results demonstrate that, the intelligent PID is an effective controller to enhance the transient voltage response of AVR system.

Simulation of PID Control of Belt Conveyor System in Coal Mine by an Improved Adaptive Genetic Algorithm

2014 ◽  
Vol 614 ◽  
pp. 215-218 ◽  
Author(s):  
Lei Yu ◽  
Xu Long Zhang ◽  
Feng Wang
Keyword(s):  
Genetic Algorithm ◽  
Coal Mine ◽  
Pid Control ◽  
Pid Controller ◽  
Parameters Optimization ◽  
Step Response ◽  
Adaptive Genetic Algorithm ◽  
Belt Conveyor ◽  
Conveyor System ◽  
And Performance

In order to improve the problem of premature and performance of optimization, an improved adaptive genetic algorithm is proposed for parameters optimization of coal mine belt conveyor PID controller by applying the number of iterations to the crossover operation and mutation operation of genetic algorithm. The simulation shows that the step response of the improved algorithm is superior to the traditional adaptive genetic algorithm.

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