Title: A PID parameter tuning method for air conditioning system based on annealing genetic algorithm

Authors: Jianbin Nie; Yuting Zhou; Chen Chen; Ning Han; Deying Li

Addresses: School of Technology, Beijing Forest University, Beijing 100083, China ' School of Technology, Beijing Forest University, Beijing 100083, China ' Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA ' School of Technology, Beijing Forest University, Beijing 100083, China ' Beijing University of Civil Engineering and Architecture, Beijing 100044, China

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.

Keywords: simulated annealing; genetic algorithms; PID control; air conditioning systems; MATLAB simulation; PID parameter tuning; air conditioning control.

DOI: 10.1504/IJCAT.2014.066739

International Journal of Computer Applications in Technology, 2014 Vol.50 No.3/4, pp.264 - 269

Published online: 07 Feb 2015 *

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