【摘要】 针对常规PID控制在非线性、大惯性系统中存在滞后、精度低等弱点,构建了神经网络与预测算法相结合的控制系统.采用预控算法,充分利用预测控制的滚动优化和反馈校正的特性,采用神经网络建立系统的动态模型作为预测控制器的预测模型,实现了对大滞后系统的自适应控制,具有实时控制和预测性能,有效地提高了控制精度和可靠性,增强了稳定性.现场运行结果表明,在空气净化器系统中使用该方法效果良好,易于推广.更多还原

【Abstract】 In accordance with the features of traditional PID system,such as nonlinearity,large inertia,low precision,we analyze the existing control method of the questions which exist in the central air conditioning purity system control.This paper unifies the neural network and the predictive control and is applied directly in the non-linear big detention central air conditioning control system.The project example indicated that this algorithm which has the fine control performance is simple and advantageous to the project realization.更多还原