灰色神经网络控制器在液位控制中的应用

针对实际工业生产过程中被控对象的时变和纯滞后的特点，本文根据神经网络具有能
够充分逼近任意复杂的非线性关系和能够学习严重不确定系统的动态特性，具有适应性、智能性较好的特点并结合灰色预测控制的超前预测的特点，提出了基于BP 神经网络的灰色预测控制算法。仿真结果的对比分析表明：本文的控制算法与传统控制器相比，具有控制简便、自适应性较强等特点，适用于对纯滞后和模型时变对象的控制。最后采用xPC 技术在实际设备上进行了算法的验证，取得了满意的效果。
关键词：BP 神经网络，灰色预测，xPC 技术
Abstract:Aimed at the controlled object’s character of changing with time and time
delay, we based the NN’s merit of highly accord with all kinds of non-liner, learning
the uncertain system, good adaptability, excellent intelligence and join the
characteristic of forecast of the algorithm of grey prediction control , we put
forward the algorithm of grey predict control based on the theory of BP NN.The
comparing and analysing of simulation result shows：compared with traditional
controller, our algorithm become simple and convenient, stronger in adaptability，
it works well in resolving the problem of time delay and model of time varying.
Finally, we do real-time control verification by proposed algorithm in the method
of xPC technology on real device.
Keywords:BP neural network, grey prediction, xPC technology