A PID parameter tuning method for air conditioning system based on annealing genetic algorithm. (1st January 2014)

• Record Type: Journal Article
• Authors: Nie, Jianbin; Zhou, Yuting; Chen, Chen; Han, Ning; Li, Deying
• Is Part Of: International journal of computer applications technology. Volume 50:Number 3/4(2014)
• Page Start: 264
• Page End: 269
• Publication Date: 2014-01-01
• Subjects: simulated annealing genetic algorithm -- PID controller -- air conditioning system -- MATLAB simulation.; Technology -- Data processing -- Periodicals; 620.00285
• DOI: 10.1504/IJCAT.2014.066739
• Languages: English
• ISSNs: 0952-8091

Abstract

In view of the characteristics of central air conditioning control system (with great inertia and multiple disturbances) and the prematurity of conventional genetic algorithm, this paper integrated simulated annealing algorithm into conventional genetic algorithm to realise the proportional, integral, differential (PID) parameter tuning. Local optimal solution was effectively rejected by stretching fitness function and introducing access criterion with controlled probability. MATLAB simulation results showed that the system response lagged only 1000 s, and the efficiency was improved by 80% by using this method. In addition, the fitness value was smaller than that of conventional genetic algorithm.