An overview on real-time control schemes for wheeled mobile robot

Radzak, Muhammad S.A.; Ali, Mohammed A. H.; Sha’amri, S; Azwan, Ahmad

doi:10.1088/1757-899x/342/1/012059

Cited by 3 publications

(1 citation statement)

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“…One of the key operating conditions of WMR is trajectory tracking which aims to converge the robot's actual position toward a predefined path which can be uploaded as an offline map or generated online by path-planning methods [9]. An omnidirectional mobile robot (OMR) is a special type of WMR with the abilities to move instantly in all directions without any reorientation, which gives it a great advantage to complete the tracking task in such unpredictable dynamic environments [10], [11]. Tracking accuracy and constraints handling are two main criteria in developing the control algorithms along with the ability to deal with nonlinear and multivariable characteristics of the systems.…”

Section: Introductionmentioning

confidence: 99%

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

El-Sayyah

Saad

2022

IEEE Access

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

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Section: Introductionmentioning

confidence: 99%