论文标题
使用强大的自适应模型预测控制轮椅的基于安全的速度控制
Safety-based Speed Control of a Wheelchair using Robust Adaptive Model Predictive Control
论文作者
论文摘要
电动轮椅在为行动不便的人提供可及性方面起着重要作用。当设计控制器以跟踪任务时,确保在不同的应用方案和不同用户的轮椅操作的安全性至关重要。在这项工作中,我们提出了一种基于安全的速度跟踪控制算法,用于轮椅系统,具有外部干扰和不确定参数在动态级别。采用设置会员方法来估计在线不确定参数的集合,并提出了具有在线模型和控制参数适应的设计模型预测控制方案,以确保在跟踪过程中与安全相关的约束。提出的控制器可以将轮椅速度推向安全限制内的所需参考。对于违反限制的不可接受的参考,提议的控制器可以将系统引导到最接近可允许的参考的附近。根据涉及可行和不可行的参考的两个任务的高保真速度跟踪结果,对拟议的控制方案的有效性进行了验证。
Electric-powered wheelchair plays an important role in providing accessibility for people with mobility impairment. Ensuring the safety of wheelchair operation in different application scenarios and for diverse users is crucial when the designing controller for tracking tasks. In this work, we propose a safety-based speed tracking control algorithm for wheelchair systems with external disturbances and uncertain parameters at the dynamic level. The set-membership approach is applied to estimate the sets of uncertain parameters online and a designed model predictive control scheme with online model and control parameter adaptation is presented to guarantee safety-related constraints during the tracking process. The proposed controller can drive the wheelchair speed to a desired reference within safety constraints. For the inadmissible reference that violates the constraints, the proposed controller can steer the system to the neighbourhood of the closest admissible reference. The effectiveness of the proposed control scheme is validated based on the high-fidelity speed tracking results of two tasks that involve feasible and infeasible references.