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Indoor Autonomous Control of a Two-Wheeled Inverted Pendulum Vehicle Using Ultra Wide Band Technology

机译:采用超宽带技术的两轮倒立摆车的室内自主控制

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摘要

In this paper, we aimed to achieve the indoor tracking control of a two-wheeled inverted pendulum (TWIP) vehicle. The attitude data are acquired from a low cost micro inertial measurement unit (IMU), and the ultra-wideband (UWB) technology is utilized to obtain an accurate estimation of the TWIP’s position. We propose a dual-loop control method to realize the simultaneous balance and trajectory tracking control for the TWIP vehicle. A robust adaptive second-order sliding mode control (2-RASMC) method based on an improved super-twisting (STW) algorithm is investigated to obtain the control laws, followed by several simulations to verify its robustness. The outer loop controller is designed using the idea of backstepping. Moreover, three typical trajectories, including a circle, a trifolium and a hexagon, have been designed to prove the adaptability of the control combinations. Six different combinations of inner and outer loop control algorithms have been compared, and the characteristics of inner and outer loop algorithm combinations have been analyzed. Simulation results demonstrate its tracking performance and thus verify the validity of the proposed control methods. Trajectory tracking experiments in a real indoor environment have been performed using our experimental vehicle to further validate the feasibility of the proposed algorithm in practice.
机译:在本文中,我们旨在实现两轮倒立摆(TWIP)车辆的室内跟踪控制。姿态数据是从低成本的微惯性测量单元(IMU)获取的,而超宽带(UWB)技术则用于获得TWIP位置的准确估算。我们提出了一种双环控制方法来实现TWIP车辆的同时平衡和轨迹跟踪控制。研究了一种基于改进的超扭曲(STW)算法的鲁棒自适应二阶滑模控制(2-RASMC)方法,以获取控制律,然后通过多次仿真验证其鲁棒性。外环控制器是使用Backstepping的思想设计的。此外,设计了三种典型的轨迹,包括圆形,三叶形和六边形,以证明控制组合的适应性。比较了内外循环控制算法的六个不同组合,并分析了内外循环算法组合的特性。仿真结果证明了其跟踪性能,从而验证了所提出控制方法的有效性。已经使用我们的实验车辆在真实的室内环境中进行了轨迹跟踪实验,以进一步验证该算法在实践中的可行性。

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