Simulation Based Control Performance Evaluation of a Novel Fuzzy Logic Control Algorithm for Simultaneously Controlling Indoor Air Temperature and Humidity Using a Direct Expansion (DX) Air-conditioning (A/C) System
Ziwen Zhong, Xiangguo Xu, Xiaobo Zhang, Zhiyuan Huang · Procedia Engineering · 2017
A novel weights based fuzzy logic control algorithm (WBFLCA) has been previously developed. The control algorithm is able to control indoor temperature and humidity simultaneously using direct expansion (DX) air-conditioning (A/C) system. However, linguistic variables and weights of WBFLCA must be carefully chosen, otherwise hunting of control parameters may happen. This paper evaluates control performance of WBFLCA under 16 combinations of weights setting rules (4 kinds of rules for temperature and humidity respectively) to find out optimal setting rules. The simulation model is comprised of a DX A/C system model, a room thermal model and a WBFLCA controller. Indoor temperature and humidity are control parameters, while fan speed and compressor speed of A/C system are modulated variables in DX A/C system. Details of simulation results are discussed. An optimal setting rule for WBFLCA is established. PID control is also implemented to compare decoupling performance of the two control algorithms.