面对称火箭多通道耦合下的多变量自适应PID控制OA
Multivariable adaptive PID control under multi-channel coupling of plane-symmetric launch vehicle
针对面对称火箭动力学的多通道耦合效应、干扰、不确定性,以及面对称火箭任务对大角度快速机动性能的需求,本文提出一种多变量自适应PID跟踪控制方法.不同于传统火箭忽略耦合对每个通道设计单变量控制器的方法,对3个通道进行多变量联合控制设计.首先,引入性能约束函数对跟踪误差的瞬态和稳态性能进行约束,设计了多变量自适应PID控制器以改善系统瞬态响应.然后,设计了范数自适应估计算法补偿干扰和不确定性.最后,考虑了发动机摆角幅值约束进行控制分配.通过Lyapunov稳定性理论证明了所提出方法的理论正确性,通过仿真验证了控制方案与单变量自适应控制相比稳态精度更高、收敛速度更快,与多变量自适应PI控制相比瞬态性能更好,蒙特卡洛仿真验证了控制器对干扰和不确定性的鲁棒性.
Aiming at the multi-channel coupling effect,interference and uncertainty of the dynamics of the plane-symmetric rocket,as well as the performance requirements of large-angle rapid maneuvering for the plane-symmetric rocket mission,a multivariable adaptive PID tracking control method is proposed.Different from the method of traditional rocket which ignores the channel coupling and designs single variable controller for each channel,the multivariable joint control design is carried out for three channels.Firstly,the performance constraint function is introduced to constrain the transient and steady-state performance of the tracking error,and a multivariable adaptive PID controller is designed to improve the transient response of the system.Then,a norm adaptive estimation algorithm is designed to compensate for the interference and uncertainty.Finally,the engine swing angle amplitude constraint is considered for control distribution.The theoretical correctness of the proposed method is proved by the Lyapunov stability theory.The simulation results show that this control scheme has higher steady-state accuracy and faster convergence speed than that of the single variable adaptive controller,and superior transient performance compared to multivariable adaptive PI control.The Monte Carlo simulation verifies the robustness of the controller to interference and uncertainty.
王燚华;齐瑞云;胡存明;佘宇琛
南京航空航天大学自动化学院,江苏南京 211106南京航空航天大学自动化学院,江苏南京 211106上海航天控制技术研究所,上海 201109上海航天控制技术研究所,上海 201109
面对称火箭多变量PID控制预设性能姿态机动不确定性蒙特卡洛
plane-symmetric launch vehiclemultivariable PID controlprescribed performanceattitude maneuveruncertaintyMonte Carlo
《控制理论与应用》 2026 (8)
1695-1707,13
国家自然科学基金项目(62373189)资助.Supported by the National Natural Science Foundation of China(62373189).
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