Title :
Effects of parameter values and noise on PSO-based predictive control: An empirical study
Author :
Yousuf, Muhammad S. ; Al-Duwaish, Hussain N.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme is studied through a variety of tests to better understand its behavior and characteristics. The technique has already been presented in the literature. Here, the PSO and MPC parameters are varied to study the effects on the quality of control and system dynamics. Model mismatch and noise are also introduced to test the controller performance. The results from various tests are compared and conclusions are drawn.
Keywords :
particle swarm optimisation; predictive control; PSO-based predictive control; model mismatch; model predictive control scheme; particle swarm optimization; system dynamics; Automatic generation control; Cost function; Noise; Optimal control; Particle swarm optimization; Process control; Time frequency analysis;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9902-1
DOI :
10.1109/CICA.2011.5945743
