Title :
Tuning of digital PID controller using particle swarm optimization
Author :
Dashti, Mohammad ; Shojaee, Kambiz ; Seyedkashi, S.M.H. ; Behnam, Mojtaba
Author_Institution :
Dept. of Electr. Eng., Sadjad Inst. of Higher Educ., Mashhad, Iran
Abstract :
PID controllers are one of the most applicable controllers in different industries. The main important need in application of these controllers is their parameters tuning in order to gain desired result. Existing tuning rules for their design are usually based on trial and error which are so time consuming, not accurate and have considerable error. In this paper, an accessible method with high accuracy and speed has been presented for determination of these control parameters, using PSO optimization algorithm and performance assessment criteria. The results show that there is a considerable difference between this method´s results and the other method´s.
Keywords :
control system synthesis; controllers; particle swarm optimisation; three-term control; tuning; digital PID controller; parameter tuning; particle swarm optimization; performance assessment criteria; Algorithm design and analysis; Equations; Mathematical model; Optimization; Particle swarm optimization; Process control; Tuning; Assessment Criteria; PID Controller; PSO Algorithm; Tuning Rules;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6