A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform

Qazani, Mohammad Reza Chalak; Asadi, Houshyar; Bellmann, Tobias; Perdrammehr, Siamak; Mohamed, Shady; Nahavandi, Saeid

doi:10.1109/fuzz48607.2020.9177599

Cited by 15 publications

(5 citation statements)

References 33 publications

(42 reference statements)

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“…This paper categorized these robotic machines based on their working principles and the number of DoF that they provide to facilitate smooth translational and rotational positioning in the 3d space. Furthermore, the Adaptive washout lter [6], [18][21] Optimal washout lter [22] OpDA algorithm [23] Sliding mode-based cueing [24][26], [31] Model predictive control [27] [29] Time-varying model predictive control [30], [32] Nonlinear model predictive control [33] Neural network [34] Fuzzy control system…”

Section: Discussionmentioning

confidence: 99%

A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms

et al. 2023

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Vehicular motion simulators have evolved to become an important contributor to major industries, including defense, aerospace, and vehicle manufacturing. During the past few decades, many eorts have been made towards developing robust, adaptive motion simulators with the highest level of delity and realism. Thus, it is important to recollect, in order to evaluate the current state of complex robotic systems, encouraging careful planning of further improvements in the future. This article focuses on the current motion simulators' structural designs and working principles alongside the currently developed motion control algorithms to achieve the highest delity. Furthermore, within the era of industry 4.0 and the fast-paced merging of technologies into key industries, some suggestions are made for future works which it is believed are worth investigating to provide robustness and adaptivity to the control of simulation systems, improving their delity and realism alongside reducing motion sickness experienced by the simulator operator.

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Section: Discussionmentioning

confidence: 99%

A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms

et al. 2023

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“…In 1999, Chuang [103] studied the stability of the Stewart platform by using fuzzy control. Later, Yaovaja [104], Breganon [105], Qazani [106], and others used the fuzzy PID control algorithm to study the complex asymmetric structure and nonlinear problems of the Stewart platform and improved the calculation efficiency. When there is uncertainty in the controlled object or the external environment is constantly changing, the adaptive control method can be used.…”

Section: Research Status Of Control Methodsmentioning

confidence: 99%

“…In 1999, Chuang studied the stability of the Stewart platform by using fuzzy control. Later, Yaovaja Breganon [105], Qazani [106], and others used the fuzzy PID control algorithm to the complex asymmetric structure and nonlinear problems of the Stewart platform improved the calculation efficiency.…”

Section: Research Status Of Control Methodsmentioning

confidence: 99%

Progress of Stewart Vibration Platform in Aerospace Micro–Vibration Control

Feng

Zhu

et al. 2022

Aerospace

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In order to support the development of high–precision spacecraft, the current state of the Stewart vibration isolation platform in the field of aerospace micro–vibration was surveyed. First, based on analyses of the causes and characteristics of spacecraft micro–vibration, the principles, characteristics, advantages and disadvantages of four vibration isolation technologies are summarized. Second, the development process of the Stewart vibration isolation platform, from structural proposal and theoretical calculation to application in various fields, is introduced. Then, the current state of kinematics, dynamics and braking control algorithms of the Stewart platform is investigated, and related work on rigid/flexible platforms in the field of aerospace micro–vibration is introduced in detail. Finally, the idea that the Stewart platform can be fabricated by 4D printing technology is proposed. The novel Stewart platform can be combined with artificial intelligence algorithms and advanced control strategies, allowing for further development in the direction of an integrated omnidirectional, full–frequency and multi–function platform with variable stiffness.

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“…In [ 12 ], adaptive motion cueing using fuzzy-based tilt coordination has been proposed. Due to many other possibilities of tilt coordination [ 13 ], the study of this algorithm is just at its initial stages.…”

Section: Introductionmentioning

confidence: 99%

Investigation of vibration’s effect on driver in optimal motion cueing algorithm

Ahmad,

Tariq,

Yasin

et al. 2023

PLoS ONE

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The increased sensation error between the surroundings and the driver is a major problem in driving simulators, resulting in unrealistic motion cues. Intelligent control schemes have to be developed to provide realistic motion cues to the driver. The driver’s body model incorporates the effects of vibrations on the driver’s health, comfort, perception, and motion sickness, and most of the current research on motion cueing has not considered these factors. This article proposes a novel optimal motion cueing algorithm that utilizes the driver’s body model in conjunction with the driver’s perception model to minimize the sensation error. Moreover, this article employs H∞ control in place of the linear quadratic regulator to optimize the quadratic cost function of sensation error. As compared to state of the art, we achieve decreased sensation error in terms of small root-mean-square difference (70%, 61%, and 84% decrease in case of longitudinal acceleration, lateral acceleration, and yaw velocity, respectively) and improved coefficient of cross-correlation (3% and 1% increase in case of longitudinal and lateral acceleration, respectively).

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A New Fuzzy Logic Based Adaptive Motion Cueing Algorithm Using Parallel Simulation-Based Motion Platform

Cited by 15 publications

References 33 publications

A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms

A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms

Progress of Stewart Vibration Platform in Aerospace Micro–Vibration Control

Investigation of vibration’s effect on driver in optimal motion cueing algorithm

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