Tang Minan, Tang Kunxi, Zhang Yaqi, Qiu Jiandong, Chen Xiaowei
School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
Sci Rep. 2024 Aug 9;14(1):18504. doi: 10.1038/s41598-024-68757-1.
Nonholonomic constrained wheeled mobile robot (WMR) trajectory tracking requires the enhancement of the ground adaptation capability of the WMR while ensuring its attitude tracking accuracy, a novel dual closed-loop control structure is developed to implement this motion/force coordinated control objective in this paper. Firstly, the outer-loop motion controller is presented using Laguerre functions modified model predictive control (LMPC). Optimised solution condition is introduced to reduce the number of LMPC solutions. Secondly, an inner-loop force controller based on adaptive integral sliding mode control (AISMC) is constructed to ensure the desired velocity tracking and output driving torques by combining second-order nonlinear extended state observer (ESO) with the estimation of dynamic uncertainties and external disturbances during WMR travelling process. Then, Lyapunov stability theory is utilised to guarantee the consistent final boundedness of the designed controller. Finally, the system is numerically simulated and practically verified. The results show that the double-closed-loop control strategy devised in this paper has better control performance in terms of complex trajectory tracking accuracy, system resistance to strong interference and computational timeliness, and is able to realise effective coordinated control of WMR motion/force.
非完整约束轮式移动机器人(WMR)轨迹跟踪需要在确保其姿态跟踪精度的同时提高WMR的地面适应能力,本文提出了一种新颖的双闭环控制结构来实现这一运动/力协调控制目标。首先,采用拉盖尔函数修正模型预测控制(LMPC)提出外环运动控制器。引入优化求解条件以减少LMPC解的数量。其次,构建基于自适应积分滑模控制(AISMC)的内环力控制器,通过结合二阶非线性扩张状态观测器(ESO)以及WMR行驶过程中动态不确定性和外部干扰的估计,确保期望速度跟踪和输出驱动转矩。然后,利用李雅普诺夫稳定性理论保证所设计控制器的一致最终有界性。最后,对系统进行了数值仿真和实际验证。结果表明,本文设计的双闭环控制策略在复杂轨迹跟踪精度、系统抗强干扰能力和计算时效性方面具有更好的控制性能,能够实现WMR运动/力的有效协调控制。