线性最优控制系统的设计,从理论上说解决的比较彻底,结果也比较理想。但在工程应用上确存在着一些实际困难,其中最主要有两个,第一是被控对象的模型建立比较困难。第二是目标函数中的加权矩阵的选择无规律可循,目前多是根据经验试探性的选择。因此,组成的最优闭环控制系统,虽然能满足使某个目标函数取最小值的要求,但其动态特性往往不易获得满意的结果。主要原因为加权矩阵的选择不合适,求得的反馈矩阵不能使闭环系统具有我们所希望的极点。为克服上述困难,我们综合了极点配置和最优控制两种设计方法的优 Linear optimal control system design, in theory, to solve more thoroughly, the result is quite satisfactory. However, there are some practical difficulties in engineering application, of which there are two main ones. The first is that it is difficult to establish the model of the controlled object. The second is that the choice of weight matrix in the objective function has no rules to follow. At present, it is mostly based on empirical exploratory choices. Therefore, the composition of the optimal closed-loop control system, although able to meet a certain objective function to take the minimum requirements, but its dynamic characteristics are often not easy to get satisfactory results. The main reason is that the choice of weighting matrix is ​​not suitable, and the feedback matrix can not make the closed-loop system have the pole we want. In order to overcome the above difficulties, we combine the advantages of two design methods of pole placement and optimal control