Relevant bibliographies by topics / Motion washout filter

Academic literature on the topic 'Motion washout filter'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Motion washout filter"

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Inayat, Irum, Rooh ul Amin, and Malik Mazhar Ali. "Hardware-in-the-loop flight motion simulation of flexible variable sweep aircraft." Aircraft Engineering and Aerospace Technology 90, no. 9 (November 14, 2018): 1428–37. http://dx.doi.org/10.1108/aeat-08-2017-0180.

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Purpose This paper aims to propose an improved and computationally efficient motion simulation of a flexible variable sweep aircraft. Design/methodology/approach The motion simulation is performed on hardware-in-the-loop simulation setup using 6 degree-of-freedom motion platform. The dynamic model of a flexible variable sweep aircraft, Rockwell B-1 Lancer is presented using equations of motions for combined rigid and flexible motions. The peak filter is introduced as a new method to separate flexible motion from aircraft motion data. Standard adaptive washout filter is modified and redesigned for an accurate flexible aircraft flight simulation. The flight data are generated using FlightGear software. Another motion profile with significant oscillations is also tested. The peak filter and the modified adaptive washout filter both are used to process the data according to the motion envelop of motion platform. Findings The performance of the modified adaptive washout filter is evaluated using hardware-in-the-loop simulation setup and results are compared with the standard adaptive washout filter. Results exhibit that the proposed method is computationally cost-effective and improves the motion simulation of flexible aircraft with close to realistic motion cues. Originality/value The proposed work presents motion simulation of a flexible aircraft by introducing a peak filter to extract flexible motion in contrast to the traditional motion separation methods. Also, a modified adaptive washout filter is designed and implemented in place of the traditional washout filters for improved flexible aircraft flight motion simulation.
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Gharib, Alireza, Masoud Goharimanesh, Ali Koochi, and Mohammad Reza Gharib. "DESIGNING AN EVOLUTIONARY OPTIMAL WASHOUT FILTER BASED ON GENETIC ALGORITHM." Aviation 26, no. 1 (March 31, 2022): 54–63. http://dx.doi.org/10.3846/aviation.2022.16570.

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This paper aims to design a reliable filter that can transform the actual motion of a flight simulator maneuver into a logical and understandable movement for its workspace. Motion cueing algorithms are used in scaling maneuvers to improve the user’s perception of real-world motion. As a unique algorithm, the washout-filter algorithm reduces the real motions where the user cannot understand the difference between the actual and simulated maneuvers. To design a proper washout filter, first, apply the inner ear model where humans can feel the motion to design a proper filter. The Otolith and semicircular systems were represented by two parts in this model. Second, an evolutionary theory based on a genetic algorithm is used to design a structure that minimizes human perception error and workspace boundaries. The issue is determining the coefficients in the model in order to create a high-performance flight simulator. The filtering algorithm, based upon the human vestibular model, compares human perception with flight simulator motion knowledge. The findings demonstrate an objective function that minimizes user perception error, and the flight simulator motion range can prepare a reliable washout filter for motion cueing.
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Grant, Peter R., and Lloyd D. Reid. "Motion Washout Filter Tuning: Rules and Requirements." Journal of Aircraft 34, no. 2 (March 1997): 145–51. http://dx.doi.org/10.2514/2.2158.

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Lemes, R. C., M. Moreira Souza, E. M. Belo, and J. H. Bidinotto. "Latency on a Stewart platform using washout filter." Aeronautical Journal 122, no. 1252 (March 27, 2018): 1003–19. http://dx.doi.org/10.1017/aer.2018.35.

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ABSTRACTThe aim of this work is to investigate and quantify the latency on a Stewart Platform caused exclusively by a Classic washout filter. This washout filter is intended to recreate the sensations of motion caused by changes of translational and rotational acceleration that an aircraft can provide, due to changes in attitudes caused by external factors, and those caused by the pilot’s command. The input signal was generated by a FlightGear Simulator in order to obtain the specific forces and angular velocities of a Boeing 747 during a take-off procedure. These signals are then filtered by a washout filter and sent to the inverse kinematics of the movable platform, which will transform the aircraft motion sensations in platforms actuator position, thereby causing a certain signal delay. Experiments were performed in a Stewart Platform to obtain the latency caused by the mathematical modelling of the entire washout filter system. This latency are then compared to the latency caused by the control and dynamics of the platform’s actuators. Results indicate that the washout filter is the most responsible for the latency of the specific force signals to be reproduced by the platform in this experiment, and that the natural frequency and damping coefficient values must be properly estimated in order to optimise the total latency.
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Asadi, Houshyar, Chee Peng Lim, Arash Mohammadi, Shady Mohamed, Saeid Nahavandi, and Lakshmanan Shanmugam. "A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 8 (May 21, 2018): 1025–38. http://dx.doi.org/10.1177/0959651818772940.

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A motion cueing algorithm plays an important role in generating motion cues in driving simulators. The motion cueing algorithm is used to transform the linear acceleration and angular velocity of a vehicle into the translational and rotational motions of a simulator within its physical limitation through washout filters. Indeed, scaling and limiting should be used along within the washout filter to decrease the amplitude of the translational and rotational motion signals uniformly across all frequencies through the motion cueing algorithm. This is to decrease the effects of the workspace limitations in the simulator motion reproduction and improve the realism of movement sensation. A nonlinear scaling method based on the genetic algorithm for the motion cueing algorithm is developed in this study. The aim is to accurately produce motions with a high degree of fidelity and use the platform more efficiently without violating its physical limitations. To successfully achieve this aim, a third-order polynomial scaling method based on the genetic algorithm is formulated, tuned, and implemented for the linear quadratic regulator–based optimal motion cueing algorithm. A number of factors, which include the sensation error between the real and simulator drivers, the simulator’s physical limitations, and the sensation signal shape-following criteria, are considered in optimizing the proposed nonlinear scaling method. The results show that the proposed method not only is able to overcome problems pertaining to selecting nonlinear scaling parameters based on trial-and-error and inefficient usage of the platform workspace, but also to reduce the sensation error between the simulator and real drivers, while satisfying the constraints imposed by the platform boundaries.
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Huang, Chin-I., and Li-Chen Fu. "Human Vestibular System Based Optimal Washout Filter Design on Motion Platform Constraint." IFAC Proceedings Volumes 39, no. 15 (2006): 394–99. http://dx.doi.org/10.3182/20060906-3-it-2910.00067.

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Asadi, Houshyar, Shady Mohamed, and Saeid Nahavandi. "Incorporating Human Perception With the Motion Washout Filter Using Fuzzy Logic Control." IEEE/ASME Transactions on Mechatronics 20, no. 6 (December 2015): 3276–84. http://dx.doi.org/10.1109/tmech.2015.2405934.

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Chen, Sung-Hua, and Li-Chen Fu. "An Optimal Washout Filter Design with Fuzzy Compensation for a Motion Platform." IFAC Proceedings Volumes 44, no. 1 (January 2011): 8433–38. http://dx.doi.org/10.3182/20110828-6-it-1002.03176.

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Asadi, Houshyar, Chee Peng Lim, Shady Mohamed, Darius Nahavandi, and Saeid Nahavandi. "Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter." IEEE Transactions on Intelligent Vehicles 4, no. 2 (June 2019): 298–308. http://dx.doi.org/10.1109/tiv.2019.2904388.

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Qazani, Mohammad Reza Chalak, Houshyar Asadi, Shady Mohamed, Chee Peng Lim, and Saeid Nahavandi. "An optimal washout filter for motion platform using neural network and fuzzy logic." Engineering Applications of Artificial Intelligence 108 (February 2022): 104564. http://dx.doi.org/10.1016/j.engappai.2021.104564.

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Dissertations / Theses on the topic "Motion washout filter"

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Gutridge, Christopher Jason. "Three Degree-of-Freedom Simulator Motion Cueing Using Classical Washout Filters and Acceleration Feedback." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9882.

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Good motion cueing in a flight simulator serves to enhance the overall simulation environment. However, poor motion cueing can greatly detract from the simulation and serve solely to distract the pilot. The latter was the case for Virginia Tech's three degree-of-freedom motion-base. The most common method of motion cueing is to use washout filters to produce the best motion cues within the physical limitations of the motion system. This algorithm is named the classical washout algorithm and its filters were studied first in this research, but initially yielded undesirable results. In efforts to greatly improve the acceleration response in the pitch axis, the concept of an acceleration feedback controller in conjunction with washout filters was investigated. In developing a mathematical model of the motion-base and its corresponding circuitry, corrections and modifications were made to the circuitry which served to improve the dynamic response of the motion-base and enhance motion sensations. Next, design and implementation of the acceleration feedback controller for the pitch axis was performed and tested using a pilot rating scale and time history responses. The parameters for the acceleration feedback algorithm and the classical washout algorithm were varied to find the most favorable algorithm and set of parameters. Results of this paper have demonstrated the successful implementation of acceleration feedback and that the motion system at Virginia Tech now serves to greatly enhance the simulation environment.
Master of Science
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Tsai, Jr-Jian, and 蔡志堅. "The Design of the Neural Network aptive Washout Filter In Motion Cueing Simulator." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/5v2627.

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碩士
逢甲大學
自動控制工程所
90
The purpose of this research is to design an auto-tuning adaptive washout filter with neural network to demonstrate the dynamics of actual system. The parameters of the adaptive washout filter can be auto-tuned immediately with neural network by error back-propagation algorithm. It will be utilized to demonstrate the dynamic behavior of the acceleration motion cueing by washing out the steady state value, such as displacement and attitude angle, and passing all the transient signals as possible. In this study, we adopt the concept of auto-tuning PID to tune the parameters of washout filter by using neural network. In addition, we propose a new architecture for the auto-tuning adaptive optimal washout filter. Using the optimal control methodology, we can obtain the optimal parameters and then use neural network to tune some parameters of optimal washout filter in real time. By this method, we can upgrade the performance of the optimal washout filter.
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Hwang, Yui-Chi, and 黃裕祺. "A Study of Applying Adaptive Washout Filter Algorithm Motion Cue to a Driving Simulator." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/796z52.

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碩士
國立臺北科技大學
機電整合研究所
99
Stewart Platform is the most popular motion platform used to generate motion cue. However, the workspace prohibits it from producing continuous dynamic motion as those in the real world. In most circumstances, a Washout Filter Algorithm is applied as the motion cue to generate motion on the Stewart Platform. This research investigates the demands and performance using Washout Filter Algorithm as motion cue. Because the Classical Washout Filter is linear, motions of the Stewart Platform vary proportionally to the commands, once the amplitude of command becomes larger, the platform will reach its workspace boundary. An innovative Adaptive Washout Filter Algorithm is also proposed and investigated to improve the performance. With the new adaptive method and in-house developed digital platform controller, the Stewart Platform is controlled to produce the motion closed to the simulated dynamics while satisfies the human perception. The study started with the Classical Washout Filter and an adaptive variable method has been applied by adjusting the break frequency of Washout Filter in realtime according to the varying space available of the platform. By adopting the adaptive method, the performance between simulated dynamics and the physical workspace limitations of platform can be optimized. To prove the feasibility of this research, step and sweep signals firstly are applied to examine the performance of all Washout Filters; secondly, a physical vehicle dynamic model in virtual reality is adopted to calculate and simulate the real-world motion dynamics and then the simulated motions have been reproduced by Stewart Platfrom and the develpoed Adaptive Washout Filter algorithm. The experiments have shown the advantages of the developed Adaptive Washout Filter algorithm which surpasses the Classical ones.
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Huang, Chin-I., and 黃勤鎰. "Sliding Mode Control of Motion Platform and Human-Perception-Systems Based Washout Filter Design for Virtual Reality Simulation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/92487931787301487066.

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博士
國立臺灣大學
電機工程學研究所
95
The driving simulator is a great integrated system which can be divided into four subsystems, including vehicle dynamics systems, computer graphs, motion platform systems, and washout filter systems. This dissertation focuses on the construction of a high-performance motion platform system with a more realistic washout algorithm for human sensation. A smooth sliding mode backstepping control approach for the motion control of a Stewart platform is proposed. The control scheme is proposed provided that the overall system parameters are subject to uncertainties and only the positions and velocities of the links are measurable. To achieve high-performance tracking control of a 6 DOF Stewart platform normally requires the full knowledge of the system dynamics. In this dissertation, some important properties of the dynamics of the Stewart platform have been derived and exploited to develop a smooth sliding mode backstepping controller which can drive the motion tracking error to zero asymptotically. Stability analysis based on Lyapunov theory is performed to guarantee that the controller design is stable. Finally, the experimental results confirm the effectiveness of our control design. After that, a new approach is presented to develop washout filters for the simulators. It is based on the human vestibular model, limited workspace of the motion platform, and the senseless maneuver compensator at the same time for designing a washout filter such that a cost function constraining the pilot’s sensation error (between the simulator and the simulated vehicle) is minimized. The strong sensations experienced by the pilot can be curtailed, and the platform workspace for presenting the desired scenario is more efficient than others. Finally, the simulation and experimental results confirm the effectiveness of our algorithm designed, and hence the merits of the present approach can be manifested. To avoid dizzy feeling caused by the conflict between the visual and the vestibular systems, a novel integrated model is proposed which includes models of both vestibular and visual motion sensation and incorporates the nonlinear interaction between the vestibular and visual stimuli. Models for both rotational and translational motions are developed, producing responses that explain the characteristics of self-motion. Based on this novel model, we propose a human vestibular-visual based (HVVB) adaptive washout algorithm to avoid dizzy feeling caused by the conflict between visual and vestibular systems. Finally, the simulation and experimental results confirm the effectiveness of our proposed algorithm, thus manifesting the advantages of the present approach.
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Huang, Chin-I. "Sliding Mode Control of Motion Platform and Human-Perception-Systems Based Washout Filter Design for Virtual Reality Simulation." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2307200715004800.

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Chen, Cheng-Ta, and 陳正達. "Study on Washout Filters and Motion Cue Design for Motion Simulation." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/85008064208934269766.

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碩士
國立臺灣科技大學
電機工程系
90
Motion Simulation is to rebuild the feeling of passengers in a vehicle from a locally moving simulator. The most popular device utilized in motion simulation is Stewart platform. Stewart platform is a six-degree-of-freedom device. Because Stewart platform is complicated and hard to design, washout filters are often used to fulfill such motion simulations. The idea of washout filters is to ignore the frequency that human to make using limited working space of platform to generate infinite motion be possible. Originally, motion simulation is developed to train flight pilot. Nowadays, motion simulation is not only employed in flight simulation, but also can be used in various vehicle simulations. There is another way of dealing with the motion of simulators. It is often used in the so-called virtual reality emulation theaters and referred to as the motion cue in this thesis. Because this kind of application is an off-line system, engineers can design the platform variation to generate motion cues by their experience. Because of this property, there are two major advantages for motion cue. One is that because motion cue is an off-line mapping, we can plan the whole motion to avoid the movement of actuators out of the work space. The other one is that motion cue can be added special movements to generate more entertaining effects. In this thesis, we design a spring device to be added after the washout filter to reduce the chance of reaching the boundary of the working space. Because motion cue deeply relies on an experienced engineer to arrange a good motion cue trajectory of Stewart platform positions, we attempt to build fuzzy rules to make the motion cue design more easily.
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Conference papers on the topic "Motion washout filter"

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Hwang, Thong-Shing, Shen-Kai Yeh, Jr-Ruei Lin, and Wen-Pin Su. "Adaptive motion washout filter design by using self-tuning fuzzy control." In 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2009. http://dx.doi.org/10.1109/aim.2009.5229912.

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Grant, Peter, and Lloyd Reid. "Motion washout filter tuning - Rules and requirements (expert systems flight simulators)." In Flight Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-3408.

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Asadi, Houshyar, Arash Mohammadi, Shady Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, and Saeid Nahavandi. "A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844527.

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Affan, Muhammad, Syed Umaid Ahmed, Ali Isfand yar Manek, and Riaz Uddin. "Design and Implementation of the Washout Filter for the Stewart-Gough Motion Platform." In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2019. http://dx.doi.org/10.1109/iccike47802.2019.9004317.

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Huang, Chin-I. "Human visual-vestibular based (HVVB) adaptive washout filter design for VR-based motion simulator." In 2010 International Symposium on Computer, Communication, Control and Automation (3CA). IEEE, 2010. http://dx.doi.org/10.1109/3ca.2010.5533601.

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Huang, Chin-I. "Adaptive washout filter design with human visual-vestibular based (HVVB) for VR-based motion simulator." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596708.

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Huang, Chin-I., and Li-Chen Fu. "Human Vestibular Based (HVB) Senseless Maneuver Optimal Washout Filter Design for VR-based Motion Simulator." In 2006 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icsmc.2006.384835.

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Sung-Hua Chen and Li-Chen Fu. "An optimal washout filter design for a motion platform with senseless and angular scaling maneuvers." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5530820.

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Maksimkins, Pavels, Andrejs Stupans, Skaidrite Krivisa, Armands Senfelds, and Leonids Ribickis. "Implementation of a Classic Washout Filter for Robotic Large Range Motion Simulator using Cylindrical Coordinate System." In 2021 IEEE 9th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE). IEEE, 2021. http://dx.doi.org/10.1109/aieee54188.2021.9670415.

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Araujo Machado, Emmanuel, and Luiz Carlos Sandoval Goes. "Identification of the Movement Algorithm of a Commercial Platform for Helicopter Simulators." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.994.

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The use of flight simulators for pilot training and evaluations is common in the modern aeronautical sector. Whether for airplanes or helicopters, the military and airline companies use this feature to keep their crews operational, safety-oriented and resource-saving. This work presents a proposal for adjusting the washout filter parameters that allows the use of Stewart's platform in helicopter simulators. The identification of the filter parameters was carried out based on tests on an available commercial platform, certified by the company Moog, model MB-E-6DOF/24/1800KG, currently used in the SHEFE helicopter simulator of the Brazilian Army. The work dealt with the physiological aspects of the human vestibular system and its dynamics. Subsequently, the methods for choosing the filter model, and configuration parameters are presented. Three series of tests were carried on the commercial platform and in a real helicopter prepared with special flight test instrumentation. The tests were completed, and the motion platform filter adjustments were made to minimize errors between the movement cues perceived by the pilot in the aircraft and the flight simulator. The results of this work will be used as a basis for the development of a national movement platform for another flight simulator in the development phase.
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