PID Controller Design for Cruise Control System using Particle Swarm Optimization

Authors

  • Ahmed Abdulnabi University of Information Technology and Communications (UOITC)

DOI:

https://doi.org/10.25195/ijci.v43i2.61

Keywords:

Cruise Control; PID; PSO, GA, Robustness Analysis.

Abstract

This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise control
system. The parameters of the PID controller, which are the proportional ( ), derivative ( ) , and integrator ( ), have been
selected using Particle Swarm Optimization (PSO) algorithm. In this study, the overall system performance has been
compared with other predesigned controllers (conventional PID, Fuzzy logic PID, state space, and Genetic algorithm based
PID controller). The simulation result illustrates that PSO based PID controller gives the best response in terms of settling
time, rise time, peak time, and maximum overshot. The robustness analysis shows that the system is robust despite the
deviations in some of the system parameters.

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Author Biography

Ahmed Abdulnabi , University of Information Technology and Communications (UOITC)

Businesses Informatics College,

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Published

2017-12-31