Enhanced MPC for Omnidirectional Robot Motion Tracking Using Laguerre Functions and Non-Iterative Linearization

نویسندگان

چکیده

To cope with the computational complexity of traditional model predictive control, and to reduce error linearization prediction processes, this paper presents an improved control algorithm, based on Laguerre functions, for motion tracking omnidirectional mobile robot non-iterative linearization. design controller, kinematic modeling three-wheeled was first performed. Next, algorithm developed using functions parametrize signals. At each sampling instant online optimization, a along predicted trajectory, duality principle between optimal stochastic filtering, carried out deal nonlinearities system. This provides better approximation nonlinear behavior which improves process performance, lower burden due use functions. The new controller is applied solve trajectory-tracking problem robot. A comparative study proposed conventional approach made. Simulation results confirm that outperform latter ones regarding accuracy considerably low effort. feasibility demonstrated by real-time experiment Robotino-Festo

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2022

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2022.3220240