论文部分内容阅读
拓展了基于一个给定的模型考虑系统的摄动问题的这种传统的鲁棒控制设计方法，给定多个模型，设计多个鲁棒控制器，将有更大的容许摄动范围，针对多个不同控制器用传统方法很难同时实现的状况，用具有定性和定量多模态控制能力的神经网络同时实现了多个传统控制器的功能，方法简单，实现容易。将该方法用于飞机增稳系统的控制设计，仿真结果证明控制效果良好。
The traditional robust control design method which considers the perturbation problem of the system based on a given model is extended. Given a large number of models and designing a large number of robust controllers, there will be a larger allowable range of perturbation. A number of different controllers are difficult to achieve at the same time by the traditional method. The neural network with qualitative and quantitative multi-modal control ability simultaneously realizes the functions of multiple traditional controllers. The method is simple and easy to implement. The method is applied to the control design of aircraft stabilization system. The simulation results show that the control effect is good.