Title :
A simplified Genetic Algorithm for online tuning of PID controller in LabView
Author :
Nazir, A.J.A. ; Gautham ; Surajan, Remya ; Binu, L.S.
Author_Institution :
Dept. of Electron. & Commun., Coll. of Eng., Trivandrum, Trivandrum, India
Abstract :
This paper presents a simplified genetic algorithm approach for the tuning of PID controllers. A new approach which greatly reduces the computational requirement for implementing the various steps in genetic algorithm (crossover and mutation) is presented. The algorithm was used for the online tuning of the controller in a temperature regulating system. The results show that the approach was successful in improving parameters such as rise time and ISE.
Keywords :
control engineering computing; genetic algorithms; temperature control; three-term control; virtual instrumentation; LabView; PID controller; online tuning; simplified genetic algorithm; temperature regulating system; Communication system control; Control systems; Genetic algorithms; Optimization methods; Temperature control; Temperature sensors; Three-term control; Transient response; Tuning; Water heating; LabView; Online tuning; PIDcontroller; System identification; Temperature control system;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393665
