Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator

نویسندگان

چکیده

This article proposes a new incremental model predictive control (IMPC) strategy, which allows for constrained of robot manipulator, while the resulting is derived without concrete mathematical system model. First, to reduce dependence on nominal manipulators, continuous-time nonlinear approximated by an using time-delay estimation (TDE). Then, based system, tracking IMPC designed in framework MPC terminal ingredients. Thus, compared with existing methods, not required. Moreover, we investigate reachable reference trajectories and confirm local input-to-state stability (ISS) IMPC, considering bounded TDE error as disturbance system. For trajectories, ISS analyzed continuity value function, cumulative bound overconservative. Finally, several real-time experiments are conducted verify effectiveness IMPC. Experimental results show that can achieve optimal performance guaranteeing input state constraints violated.

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ژورنال

عنوان ژورنال: IEEE Transactions on Control Systems and Technology

سال: 2022

ISSN: ['1558-0865', '2374-0159', '1063-6536']

DOI: https://doi.org/10.1109/tcst.2022.3142629