Washout circuit design for multi-degrees-of-freedom moving base simulators

Conrad, Bryan P.; Schmidt, S. F.; Douvillier, Joseph G.

doi:10.2514/6.1973-929

Cited by 34 publications

(13 citation statements)

References 3 publications

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“…The second condition, which is denoted as Motion, uses a motion cueing algorithm that was designed specifically for advanced driving simulation on DESDEMONA. This algorithm is based on the principles of the classical washout filter [29], [30] and has been optimized to render higher level of lateral acceleration than in Experiment 1. The lateral specific force onset is coupled to the DESDEMONA radius actuator.…”

Section: A Principlementioning

confidence: 99%

Motion Scaling for High-Performance Driving Simulators

Berthoz

Bles²,

Bülthoff

et al. 2013

IEEE Trans. Human-Mach. Syst.

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Advanced driving simulators aim at rendering the motion of a vehicle with maximum fidelity, which requires increased mechanical travel, size, and cost of the system. Motion cueing algorithms reduce the motion envelope by taking advantage of limitations in human motion perception, and the most commonly employed method is just to scale down the physical motion. However, little is known on the effects of motion scaling on motion perception and on actual driving performance. This paper presents the results of a European collaborative project, which explored different motion scale factors in a slalom driving task. Three state-of-the-art simulator systems were used, which were capable of generating displacements of several meters. The results of four comparable driving experiments, which were obtained with a total of 65 participants, indicate a preference for motion scale factors below 1, within a wide range of acceptable values (0.4-0.75). Very reduced or absent motion cues significantly degrade driving performance. Applications of this research are discussed for the design of motion systems and cueing algorithms for driving simulation.

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Section: A Principlementioning

confidence: 99%

Motion Scaling for High-Performance Driving Simulators

Berthoz

Bles²,

Bülthoff

et al. 2013

IEEE Trans. Human-Mach. Syst.

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“…Because of the limited kinematic envelope for all motion systems, other than actual aircraft, motion drive algorithms are required to provide the best use of the available motion envelope 7 . This optimization depends on an accurate set of motion fidelity criteria for the required task, but there is controversy surrounding this issue 8,9,10 .…”

mentioning

confidence: 99%

Control of a Lateral Helicopter Side-step Maneuver on an Anthropomorphic Robot

Beykirch

Nieuwenhuizen

Teufel

et al. 2007

AIAA Modeling and Simulation Technologies Conference and Exhibit

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Our society relies more and more on flight simulation for pilot training to enhance safety and reduce costs. But to meet the highest level of general technical requirements for simulators set forth by the FAA and EASA requires high-cost equipment. To make simulator use more accessible, reduced costs might be achieved with novel simulator designs and/or through research to improve the performance of existing designs. This report explores the use of such a novel design, based on an anthropomorphic robot arm to reproduce an experiment designed to evaluate flight simulator motion requirement for helicopter pilot training. Results compare promisingly well to those from a large, highperformance facility where the original work was performed.

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“…Conrad and Schmidt [2], [3] have presented the basic setup for the classical method and the main idea behind this algorithm has remained the same in subsequent work. The classical washout algorithm is generally provided as a linear cueing algorithm by Reid and Nahon [4]- [6] and it is most broadly used in commercial simulators because of its relative simplicity.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Human Perception With the Motion Washout Filter Using Fuzzy Logic Control

Asadi

Mohamed

Nahavandi

2015

IEEE/ASME Trans. Mechatron.

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Nowadays, classical washout filters are extensively used in commercial motion simulators. Even though there are several advantages for classical washout filters, such as short processing time, simplicity and ease of adjustment, they have several shortcomings. The main disadvantage is the fixed scheme and parameters of the classical washout filter cause inflexibility of the structure and thus the resulting simulator fails to suit all circumstances. Moreover, it is a conservative approach and the platform cannot be fully exploited. The aim of this research is to present a fuzzy logic approach and take the human perception error into account in the classical motion cueing algorithm, in order to improve both the physical limits of restitution and realistic human sensations. The fuzzy compensator signal is applied to adjust the filtered signals on the longitudinal and rotational channels online, as well as the tilt coordination to minimize the vestibular sensation error below the human perception threshold. The results indicate that the proposed fuzzy logic controllers significantly minimize the drawbacks of having fixed parameters and conservativeness in the classical washout filter. In addition, the performance of motion cueing algorithm and human perception for most occasions is improved.

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Washout circuit design for multi-degrees-of-freedom moving base simulators

Cited by 34 publications

References 3 publications

Motion Scaling for High-Performance Driving Simulators

Motion Scaling for High-Performance Driving Simulators

Control of a Lateral Helicopter Side-step Maneuver on an Anthropomorphic Robot

Incorporating Human Perception With the Motion Washout Filter Using Fuzzy Logic Control

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