A New Gantry-Tau-Based Mechanism Using Spherical Wrist and Model Predictive Control-Based Motion Cueing Algorithm
Chalak Qazani, Mohamad Reza, Asadi, Houshyar, and Nahavandi, Saeid (2020) A New Gantry-Tau-Based Mechanism Using Spherical Wrist and Model Predictive Control-Based Motion Cueing Algorithm. Robotica, 38 (8). pp. 1359-1380.
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Abstract
The 3 degree-of-freedom Gantry-Tau manipulator with the addition of the spherical wrist mechanism which is called Gantry-Tau-3R is designed as a high-G simulation-based motion platform (SBMP) with the capability of generating the large linear and angular displacement. The combination of both parallel and serial manipulator in newly designed Gantry-Tau-3R mechanism improves the ability of the mechanism to regenerate larger motion signals with higher linear acceleration and angular velocity. The high-frequency signals are reproduced using the parallel part of the mechanism, and sustainable low-frequency accelerations are regenerated via the serial part due to the larger rotational motion capability, which will be used through motion cueing algorithm tilt coordination channel. The proportional integral derivative (PID) and fuzzy incremental controller (FIC) are developed for the proposed mechanism to show the high path tracking performance as a motion platform. FIC reduces the motion tracking error of the newly designed Gantry-Tau-3R and increases the motion fidelity for the users of the proposed SBMP. The proposed method is implemented using Matlab/Simulink software. Finally, the results demonstrate the accurate motion signal generation using linear model predictive motion cues with a fuzzy controller, which is not possible using the common parallel and serial manipulators.
Item ID: | 86755 |
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Item Type: | Article (Research - C1) |
ISSN: | 1469-8668 |
Copyright Information: | © Cambridge University Press 2019. |
Date Deposited: | 19 Aug 2025 00:44 |
FoR Codes: | 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400705 Control engineering @ 60% 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400706 Field robotics @ 40% |
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