On-line genetic algorithm tuning of a PI controller for a heating system

• Published in: IEE conference publication pp. 510 - 515
• Main Authors: Ahmad, M, Zhang, L, Readle, J.C
• Format: Conference Proceeding
• Language: English
• Published: London IEE 1997
• Subjects: Algorithmics. Computability. Computer arithmetics; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Control of heat systems; Control system analysis and synthesis methods; Control system synthesis; Control theory. Systems; Controllers; Exact sciences and technology; Learning and adaptive systems; Optimisation techniques; Simulation, modelling and identification; Theoretical computing; Thermal variables control; online regulation; tuning; temperature control; genetic algorithms; recursive least squares; time-invariant model; PI controller; genetic algorithm; optimisation; process control; real-time systems; recursive estimation; controllers; parameter estimation; heating; two-term control; heating system; Invariant; Adaptive system; Controller; Experimental study; Optimization; Heat; Business model; System performance; Genetic algorithm; Cost function; System synthesis; Monitoring control system; Multivariable system
• ISBN: 9780852966938; 0852966938
• ISSN: 0537-9989
• DOI: 10.1049/cp:19971232

Genetic algorithms have been used successfully for a number of off-line control optimisation problems. This paper investigates their use for the online regulation of temperature in a bench top heating system. Two approaches are considered: 1) using a time-invariant model of the plant dynamics with the GA adaptively choosing the PI controller parameters; 2) extending the idea using a time varying estimate of the plant model. Test results are given for both methods. The paper concludes that the approach offers good regulation and good promise for application to more complex multivariable systems.