Vol. 6 No. 1 (2018), Research Paper
Vol. 6 No. 1 (2018)

Self-tuning PID Parameters by using NN-GA for Cruise Control System

Research Paper
Published 2018-04-04
Jirapun Pongfai
King Mongkut’s University of Technology Thonburi (KMUTT)
Wudhichai Assawinchaichote
King Mongkut’s University of Technology Thonburi (KMUTT)

Keywords

PID Controller
Self-Tuning
Cruise Control
Genetic Algorithm
Neural Networks
Particle and Swarm Optimization
Transient Response Analysis
Artificial Intelligence
Fitness Function Calculation

Abstract

This paper considers the self-tuning PID parameters by using Neural Network (NN) together with Genetic Algorithm (GA) which is called the NN-GA. The NN-GA is the combination of Neural Network and Genetic Algorithm which is optimized the learning process of NN by using GA. From the simulation results, the NN-GA gives the better transient response i.e., the percent overshoot, the steady state error, the rise time and the settling time when compared with the pure NN, pure GA and PSO.