Research on heating room temperature control based on fuzzy neural network sliding mode variable structure
In the view of the large inertia,hysteresis and time-varying of the heating room temperature control system,the traditional PID control system has strong response hysteresis and difficult in the control parameter adjustment,thus a fuzzy neural network sliding mode control algorithm is proposed.According to the characteristics of room temperature control,a combination of sliding mode variable structure control and fuzzy neural network is used to realize the intelligent control of room temperature.The parameters of the sliding mode control are optimally adjusted online in real time according to the deviation of the heating room temperature and its change rate,thus realizing the self-tuning and intelligent control of the fuzzy neural network sliding mode control.Based on the comparison of the sliding mode response curves of fuzzy sliding mode and fuzzy neural network,it is shown that the sliding mode algorithm of fuzzy neural network has better performance and meets the requirements of stability and rapidity of the control system.The control system has good anti-interference capability in the face of sudden added external disturbances.
sliding mode variable structure controlfuzzy controlneural network controlfuzzy neural network controlheating room temperature control
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