采用单神经元自适应控制高精度空调系统仿真

暖通空调领域中的被控对象(空调房间)大多具有大滞后、慢时变、非线性特点，且受各种不确定因素影响，经典控制方法难以实现精确控制。该文正是针对上述实际，将具有自学习、自适应功能的神经元控制算法引入高精度空调控制领域，并通过MATLAB仿真，考察了系统的控制效果。仿真结果表明此控制方法具有超调小、抗干扰能力强、控温精度高的优点，从而为空调系统的高精度控制提出了一个新的途径。

Simulation Research on Application of Single Neuron Adaptive Control in High Precision Air-conditioning System

that the controlled object in HVAC field (air-conditioning room) has large inertia, pure lag and nonlinear characteristic, and the uncertain disturbance factor is large. Aiming at the reality, an intelligent controller used in HVAC control is designed by means of combing the capability of self-studying and self-adapting of single neuron control with traditional PID control. A simulation research in MATLAB on the result of the control strategy has been carried out. Simulation results show that the control strategy is a satisfying new method in high precision air-conditioning control.