Shen Ganghui, Xia Yuanqing, Zhang Jinhui, Cui Bing
National Key Laboratory of Aerospace Flight Dynamics, Research Center for Intelligent Robotics, School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China; Research &Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518057, China.
School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, China.
ISA Trans. 2023 Jan;132:329-337. doi: 10.1016/j.isatra.2022.06.023. Epub 2022 Jun 22.
This paper addresses the altitude trajectory tracking control problem of reentry vehicle subject to bounded uncertainty. A new continuous adaptive super-twisting sliding mode control (ASTSMC) method is developed based on conventional super-twisting sliding mode control (STSMC) and adaptive gain technique, which can improve tracking accuracy and achieve high control performance. Based on adaptive gain technique, the designed ASTSMC method requires no prior information on uncertainty and avoids the overestimation of control gain, then the unexpected chattering phenomenon is alleviated. By employing fast power rate reaching law and modified fast nonsingular terminal sliding mode (FNTSM) surface, the designed controller achieves faster convergence and stronger robustness than conventional STSMC methods. Furthermore, the finite-time stability of closed-loop system is proved through Lyapunov theory. Simulation results are executed to validate the superiority of the proposed controller.
本文研究了具有有界不确定性的再入飞行器高度轨迹跟踪控制问题。基于传统的超扭曲滑模控制（STSMC）和自适应增益技术，开发了一种新的连续自适应超扭曲滑模控制（ASTSMC）方法，该方法可以提高跟踪精度并实现高控制性能。基于自适应增益技术，所设计的ASTSMC方法不需要不确定性的先验信息，避免了控制增益的高估，从而减轻了意外的抖振现象。通过采用快速幂次趋近律和改进的快速非奇异终端滑模（FNTSM）面，所设计的控制器比传统的STSMC方法具有更快的收敛速度和更强的鲁棒性。此外，通过李雅普诺夫理论证明了闭环系统的有限时间稳定性。通过仿真结果验证了所提控制器的优越性。
