基于综合识别的高速飞行器自适应控制方法(英文)

Adaptive Control for High Speed Vehicle Based on Integrated Identification

针对高速飞行器的传统自适应控制方法中控制器参数获取时间长,辨识存在收敛性的问题,设计了一种基于综合识别方法的新型自校正控制方案。首先,由在线直接可测量构成特征模型的特征状态量,并以特征模型作为参考模型来设计控制器;其次,通过获得的特征状态量来在线调配对象系统的零极点,输出达到期望性能所需要的控制参数。仿真结果表明:该方法能较理想地实现在线自适应控制,保证系统良好的鲁棒性和快速性,同时在工程上易于实现。

For the problem that high speed vehicle＇s traditional adaptive control method have long time to calculate control parameters and identification convergence,a novel Self-Tuning control method based on integrated identification is proposed. Firstly,online measurable quantities constituted characteristic state variables of characteristic model which is used to be the reference model to design controller. Then,control quantity that satisfied the desired performance is calculated by adjusting the plant＇s pole-zero with characteristic state variables obtained. Finally,simulation results provide the capability of online adaptive controller and enhance the robustness and rapidity of system. Furthermore,it can be implemented easily in engineering.