Application of self-adaptive fuzzy control technique to central air conditioning systems

Introduces the self-adaptive fuzzy control technique to the PID control system of a central air conditioning system in order to improve the control precision, stability and other performance. Constructs the fuzzy self-adaptive organization by involving a temperature-humidity reference model, which can modify the rules of fuzzy controller on line. Adopts the triangle membership function, minimum inference method and weighted average method to simplify the fuzzy inference process. Provides the control rule sets, methods of revising knowledge base and control strategies and carries on simulation research and performance analysis for the system.