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

• DOI: 10.1504/ijcat.2014.066739
• Publication Date: 2015-01-05T12:30:09Z
• Authors: Jianbin Nie; Yuting Zhou; N.A. Chen; Ning Han; Deying Li
• Keywords: Differential Evolution; Adaptive simulated annealing

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