高超声速飞行器单因素融合鲁棒预测控制

Univariate fusion robust predictive control for hypersonic vehicle

针对离线预测控制忽略各个因素对控制律的影响程度,将系统状态变量一维子空间对应的单因素控制量序列进行融合计算,设计了高超声速飞行器的单因素融合鲁棒预测控制器。针对系统的一维子空间离线生成单因素椭圆不变集序列和相应的控制量序列。在线时,在单因素椭圆不变集中分别搜索包含当前状态的最小椭圆,根据当前状态对控制序列进行融合得到控制律。仿真结果表明,相比于传统离线鲁棒预测控制算法,该方法能实现对高度和速度指令的快速、精确跟踪;相比于在线鲁棒预测控制算法,在线计算时间大大减少,实现了对高超声速飞行器的实时控制。

Considering the problem that the off-line model predictive control ignoring the influence of various factors on the control law, the univariate control law which was relevant to the one dimensional sub- space of the state variables was calculated, and the univariate fusion robust predictive controller was designed for hypersonic vehicle. The univariate elliptical invariant set sequence and the relevant control sequence corresponding to the one dimensional subspace were designed off-line. On-line, the smallest ellipse which contains the current state was searched in univariate elliptical invariant set. The control law was obtained by fusing the control sequence according to the current state. Simulation results show that comparing with the traditional off-line robust model predictive control, the proposed method can track the given reference quickly and precisely. Comparing with the on-line robust model predictive control, the online calculation time is greatly reduced, and the real-time control for the hypersonic vehicle can be obtained.