基于模糊神经网络PID的中央空调温度调节与启停控制OA

This paper proposes a fuzzy neural network control strategy based on fuzzy proportional integral principle,meeting the requirements of temperature regulation and switch hybrid control in central air-conditioning system.The strategy integrates the traditional proportional integral-differential control and fuzzy logic algorithm,and introduces radial basis function neural network to enhance the adaptive and learning ability of the system.The simulation results show that the proposed algorithm can quickly reach the peak of the step signal within 50 milliseconds,and the control accuracy reaches 95％after 300 milliseconds,which is superior to the traditional control algorithm.The control algorithm improves the response speed and control precision of the system,and strengthens the anti-interference ability,which is of great significance to the improvement of the energy efficiency and stability of the central air conditioning system.