Procedia Engineering · 2012 · 70 citations · 5 references
EngineeringIndustrial EngineeringHeat TransferHeatingProcess ControlController TuningHeat ControlHeating SystemsTemperature ControlThermal Control SystemsThermal ManagementAutomatic Temperature ControlFuzzy ControlFuzzy Control SystemsHeating Control SystemsOvershootRobustnessTemperature Shock MitigationTemperature Shock Reduction
In order to solve the problem of non-linearity, large delay and time variant of heating furnace, the combination of fuzzy PID control and the expert decision is used to regulate the temperature, and an expert fuzzy PID controller is designed. In this controller, The PID parameters are adjusted by fuzzy reasoning algorithm, so it has self-adapting ability. The expert decision can decrease the temperature shock near the set value. When the error is higher than the set value, the fuzzy PID is used to control the temperature. Otherwise, the expert is selected. The simulations and experimental results show that the temperature control system based on expert fuzzy PID algorithm has the merits of faster response, smaller overshoot and higher robustness than classical PID.
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PID control system analysis and design
Yun Li, Kiam Heong Ang, Gregory Chong · IEEE Control Systems · 2006 · 564 citations
Engineering, Industrial Engineering, Systems Engineering +15