One Novel Fuzzy Controller Design for HVAC Systems
Hongli Lv, Duan Peiyong, Jia Lei
Abstract
Hongli Lv, Duan Peiyong, Jia Lei
Abstract
A new fuzzy control strategy, converted directly from the PID controller, is proposed and applied to control the Heating, Ventilating, and Air-Conditioning (HVAC) systems in order to spread application and nonlinear characteristics of fuzzy controllers. The mathematical analytical expressions of parameters between fuzzy controllers and linear gains coefficients of conventional PID controllers are 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. Furthermore, the improved variable discourse method is used to optimize and tune this fuzzy controller on line. Then this new fuzzy controller is applied into temperature control in HVAC systems. The simulation test results compared with the conventional PID control shows that the proposed fuzzy controller is effective and this algorithm has less overshoot, shorter setting time and better robustness etc.
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A new fuzzy control strategy, converted directly from the PID controller, is proposed and applied to control the Heating, Ventilating, and Air-Conditioning (HVAC) systems in order to spread application and nonlinear characteristics of fuzzy controllers. The mathematical analytical expressions of parameters between fuzzy controllers and linear gains coefficients of conventional PID controllers are 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. Furthermore, the improved variable discourse method is used to optimize and tune this fuzzy controller on line. Then this new fuzzy controller is applied into temperature control in HVAC systems. The simulation test results compared with the conventional PID control shows that the proposed fuzzy controller is effective and this algorithm has less overshoot, shorter setting time and better robustness etc.
Key concepts: Control theory (sociology), PID controller, Fuzzy logic, Robustness (evolution), HVAC, Control engineering, Fuzzy control system, Overshoot (microwave communication)