PID controller design for cruise control system using genetic algorithm

2016 ◽  
Author(s):  
M. K. Rout ◽  
D. Sain ◽  
S. K. Swain ◽  
S. K. Mishra
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Controller ◽  
Controller Design ◽  
Cruise Control ◽  
Cruise Control System ◽  
Pid Controller Design

scholarly journals Root locus approach in design of PID controller for cruise control application

2021 ◽  
Vol 2115 (1) ◽  
pp. 012023
Author(s):  
M Manju Prasad ◽  
M A Inayathullah
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Closed Loop ◽  
Controller Design ◽  
Closed Loop Control ◽  
Cruise Control ◽  
Root Locus ◽  
Loop Control ◽  
Cruise Control System ◽  
Loop Control System

Abstract The Proportional Integral Derivative (PID) controller is an effective and common feedback control design used in closed loop control systems. One such best consideration of closed loop control system would be cruise control system. This is a system that automatically controls the speed of an electric vehicle despite external disturbances. In this paper, the goal is to design a PID controller using root locus technique for a closed loop cruise control system. By root locus approach, the controller constants and controller design is finalized. Simulation results through MATLAB environment validate the effectiveness of controller design.

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.

Sign in / Sign up

Export Citation Format

Share Document