A Novel Fuzzy Controller Design based-on PID Gains for HVAC Systems
Hongli Lv, Duan Peiyong, Jia Lei
Abstract
Hongli Lv, Duan Peiyong, Jia Lei
Abstract
The Heating, Ventilating, and Air-Conditioning systems (HVAC systems) are typical nonlinear time-variable multivariate systems with disturbances and uncertainties. A new fuzzy control strategy based on the PID parameters tuning to control HVAC systems is proposed in this paper. It takes full advantage of mature technologies of PID controller to improve the design of fuzzy controller. The mathematical analytical expression of parameters between fuzzy controllers and gains coefficients of PID controllers is got based on the structure analysis of fuzzy controllers. and the fuzzy controller is designed through gains tuning of PID controller based the analytical relations. Then this fuzzy controller was applied into temperature control in HVAC systems. The simulation test results showed it is effective and compared with the conventional PID control, the proposed fuzzy control algorithm has less overshoot, shorter setting time and better robustness etc.
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The Heating, Ventilating, and Air-Conditioning systems (HVAC systems) are typical nonlinear time-variable multivariate systems with disturbances and uncertainties. A new fuzzy control strategy based on the PID parameters tuning to control HVAC systems is proposed in this paper. It takes full advantage of mature technologies of PID controller to improve the design of fuzzy controller. The mathematical analytical expression of parameters between fuzzy controllers and gains coefficients of PID controllers is got based on the structure analysis of fuzzy controllers. and the fuzzy controller is designed through gains tuning of PID controller based the analytical relations. Then this fuzzy controller was applied into temperature control in HVAC systems. The simulation test results showed it is effective and compared with the conventional PID control, the proposed fuzzy control algorithm has less overshoot, shorter setting time and better robustness etc.
Key concepts: PID controller, Control theory (sociology), HVAC, Fuzzy logic, Control engineering, Overshoot (microwave communication), Robustness (evolution), Fuzzy control system