基于模型预测及控制分配的阵风缓和研究

A MPC and Control Allocation Method for Gust Load Alleviation

用改进的模型预测控制(model predictive control,MPC)和控制分配(control allocation,CA)相结合的方法解决了大型民机在遭遇不同阵风干扰下仍能够跟踪不同指令目标的问题。首先分别计算静态和动态可达指令集,然后针对最终实际可达的指令集,分别设计相应的稳态向量计算器和MPC控制器,而控制分配器将MPC输出的虚拟控制信号最终分配给各个舵面。该方法通过投影算法将原有指令信号进行两步过滤,将可达指令集不断缩小,从而减轻了原有在线优化计算的工作量。仿真结果表明用文中方法设计的闭环方案具有良好的响应特性,在阵风干扰下仍可以实现对指令信号的良好跟踪,并具有一定的鲁棒性。

In this paper, using the improved Model Predictive Control （MPC） and the Control Allocation （CA） methods with the combination of observer to solve the case that when the large civil aircraft under different wind dis- turbances it will still be close to the target tracking commands. First calculate the static and dynamic of admissible command set. Then, with the actual demand set, steady state vector calculator and MPC controller will be executed. Finally, the control distributor will solve the MPC＇s virtual output to each actual actuators. Through the projection algorithm, the method of the original signals of two step filtration, the reachable command set will be shrink, so as to reduce the workload of the original online optimization calculation. The simulation results show that the methods used in this paper has good response characteristics through the design of closed-loop scheme, under the gust disturbances it can still achieve a good of command signal tracking, and has certain robustness.