Chalak Qazani, Mohamad Reza, Asadi, Houshyar, Bellmann, Tobias, Perdrammehr, Siamak, Mohamed, Shady, and Nahavandi, Saeid (2020) A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform. In: Proceedings of the IEEE International Conference on Fuzzy Systems. From: FUZZ-IEEE 2020: IEEE International Conference on Fuzzy Systems, 19-24 July 2020, Glasgow, UK.

PDF (Published Version) - Published Version Restricted to Repository staff only

Abstract

Parallel manipulators are recently used in most motion simulation laboratories as they can easily generate six degrees of freedom motion. Recently, fuzzy logic-based adaptive motion cueing algorithms (MCAs) have been employed to reproduce the motion signals. The usage of fuzzy logic-based adaptive MCA reduces the movement sensation error between the real vehicle and the simulation-based motion platform (SBMP) user considering the end-effector limitations in Cartesian space.. In this paper, a new fuzzy logic-based adaptive MCA is introduced to generate motion signals based on the joints' limitations and the movement sensation error between the real vehicle and the SBMP user. Considering the parallel SBMP, joint limits enhance the ability of the introduced adaptive motion cueing algorithm to generate more accurate movement feelings with high fidelity. The simulation results prove that the proposed adaptive motion cueing algorithm can effectively use the large workspace of the parallel SBMP whilst reducing the motion sensation error.

Item ID:	87055
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-7281-6932-3
Copyright Information:	© 2020 IEEE
Date Deposited:	28 Oct 2025 00:24
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460204 Fuzzy computation @ 30% 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400706 Field robotics @ 30% 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400705 Control engineering @ 40%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280110 Expanding knowledge in engineering @ 100%
	More Statistics