The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
当被控对象的特性发生变化时,可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
A design of hybrid electric vehicle (HEV) brushless DC motor controller based on TMS320LF2407 with energy regeneration, which is used in the drive system of the HEV.
设计了以TMS320 LF 2407作为中央处理器的无刷直流电动机控制器,并将该控制器应用于混合动力汽车的驱动系统中。
A many grades hybrid adaptive controller is designed, the problem that high step and complicate controlled object is unstable in tradition adaptive control system is solved.
设计了一种多极混合自适应控制器,解决了高阶复杂被控对象在以往的自适应控制中出现的不稳定问题。
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