Study On Temperature Control Method In Air Conditioning System

The application of advanced automatic control strategy and technology to HVAC system can improve the control accuracy of air conditioning room temperature,save manpower and material resources,and the quality control strategy can greatly reduce the energy consumption of air conditioning operation,so as to achieve the purpose of energy saving.The temperature control of pole placement and Smith compensation in air conditioning system,the temperature control of pole placement and Pade approximation in air conditioning system,the temperature control of the new type of two degrees of freedom in air temperature and the temperature control of the DRNN neural fuzzy PID in the air conditioning system are presented in this paper and by using MATLAB simulation software to verify the new control method proposed in this paper.The main innovations of this paper can be summarized as follows:(1)A new method for temperature control of air conditioning system based on pole assignment and Smith predictor compensation is proposed.The temperature control of the air conditioning system based on pole assignment and Smith predictor compensation can overcome the negative impact of air conditioning system lag to bring system compensation system,can quickly make the air temperature in the air conditioned room adjustment to the set value,can improve the quality of the air conditioning system control.The new control method makes up the shortcoming that traditional Smith predictive compensation control is too sensitive to accurate mathematical model to model error.The temperature control of the air conditioning system based on pole assignment and Smith predictor compensation takes into account both the advantages of the air-conditioning system having good dynamic characteristics and weakening the adverse effects of time delay on the operation of the air conditioner.(2)A new method for temperature control of air conditioning system based on pole assignment and Pade approximation is studied.The temperature control of air conditioning system based on pole assignment and Pade approximation,not only takes advantages of the pole placement method can ensure that the system has better dynamic characteristics and stability,but also combines the advantages of the Pade approximation algorithm can reduce the order of the system model function and simplify the model.(3)A new method for temperature control of air conditioning system based onnew type of two degree of freedom is proposed.On the one hand,the new two degree of freedom control can strengthen the anti-interference ability of air conditioning system;on the other hand,the new two degree of freedom control has the ability to make the air conditioning system respond quickly.(4)A new method for temperature control for air conditioning system based on DRNN neural network and fuzzy PID is proposed.The control combines advanced neural network DRNN with fuzzy PID control,use the ability of the DRNN neural network can store the internal information of the feedback system,so as to adjust the temperature of the air conditioning room according to the real time,and enhance the anti-interference ability of the temperature control of the air conditioning system.