电子膨胀阀双神经元预测控制

提出了用双神经元预测控制算法对电子膨胀阀进行控制的方法，一个神经元用于在线实时估计对象动态特性，以获取对象的一步预测模型。通过学习减小模型的预测误差；另一个神经元用于在线实时控制，仿真与应用表明该算法有良好的动态响应和较强的鲁棒性，能够对电子膨胀阀进行有效的控制。

Electronic expansion valve predictive control based on double neuron

Aiming at expansion valve control loop in refrigeration system, the predictive control based on double neuron is proposed to control the evaporation superheat. The one neuron is used for on- line real- time estimation of objective dynamic characteristics and for reducing differences between objective response and true response and the other is used for on- line real- time control. The control system has been implemented successfully to solve the nonlinear problem and moreover to overcome the dead-time problem. The simulation results show that this method is feasible with good dynamic responses and stronger robustness, and does its good work for electronic expansion valve control.