Open AccessPID Controller Design for Cruise Control System using Particle Swarm Optimization
Author(s) -
Ahmed Raheem Abdulnabi
Publication year - 2017
Publication title -
al-mağallaẗ al-ʿirāqiyyaẗ li-l-ḥāsibāt wa-al-maʿlūmāt/iraqi journal for computers and informatics
Language(s) - English
Resource type - Journals
eISSN - 2520-4912
pISSN - 2313-190X
DOI - 10.25195/ijci.v43i2.61
Subject(s) - pid controller , control theory (sociology) , particle swarm optimization , robustness (evolution) , control engineering , computer science , engineering , control (management) , temperature control , algorithm , artificial intelligence , biochemistry , chemistry , gene
This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise controlsystem. The parameters of the PID controller, which are the proportional ( ), derivative ( ) , and integrator ( ), have beenselected using Particle Swarm Optimization (PSO) algorithm. In this study, the overall system performance has beencompared with other predesigned controllers (conventional PID, Fuzzy logic PID, state space, and Genetic algorithm basedPID controller). The simulation result illustrates that PSO based PID controller gives the best response in terms of settlingtime, rise time, peak time, and maximum overshot. The robustness analysis shows that the system is robust despite thedeviations in some of the system parameters.