DocumentCode
1954870
Title
Simplified PSO PI-PD Controller for Unstable Processes
Author
Vastrakar, N.K. ; Padhy, P.K.
Author_Institution
PDPM Indian Inst. of Inf. Technol. Design & Manuf., Electron. & Commun. Eng., Jabalpur, India
fYear
2013
fDate
29-31 Jan. 2013
Firstpage
350
Lastpage
354
Abstract
In this paper, a Simplified Particle Swarm Optimization (SPSO) with Proportional-Integral Proportional-Derivative (PI-PD) controller is proposed for unstable processes. SPSO is used to determine the global best and the local best position within a search space. Complete search space is divided into small sub-search spaces. In each subspace, calculate the global minima and local minima and take the minimum of all i.e. minimum of complete search space. This process is done by minimum global and local best position with random position and velocity and estimated the controller parameter. For stabilizing the process model over conventional PID controller, PD controller is placed in a feedback loop. SPSO tuning procedure is done in two parts: first to estimate the PD controller parameter and fix it then estimate the value of PI controller parameter. Simulation result shows that the proposed method is more efficient as compare to other tuning method.
Keywords
PD control; PI control; control system synthesis; feedback; parameter estimation; particle swarm optimisation; random processes; search problems; stability; complete search space; controller parameter estimation; feedback loop; global best position determination; global minima; local best position determination; local minima; process model stabilization; proportional-integral proportional-derivative controller; random position; random velocity; simplified PSO PI-PD controller; simplified particle swarm optimization; subsearch spaces; Aerospace electronics; Feedback loop; PD control; Particle swarm optimization; Process control; Relays; Tuning; Proportional-Integral Proportional-derivative (PIPD); Simplified Particle Swarm Optimization (SPSO);
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on
Conference_Location
Bangkok
ISSN
2166-0662
Print_ISBN
978-1-4673-5653-4
Type
conf
DOI
10.1109/ISMS.2013.133
Filename
6498294
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