Objective motion cueing criteria investigation based on three flight tasks

Zaal, Peter; Schroeder, Jeffery A.; Chung, William

doi:10.1017/aer.2016.119

Cited by 15 publications

(14 citation statements)

References 9 publications

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“…Another observation based on the experiment results is that the currently used fidelity boundaries for OMCT need to be further refined, as there is a clearly expressed difference in the preference given to the two configurations conforming to OMCT, which is visible in the results for pair B − O. Studies have already been performed that analyze the fidelity boundaries based on pilot performance [1]. Similar research can be done with respect to different aircraft types and flight conditions.…”

Section: Discussionmentioning

confidence: 92%

“…The design and tuning of the MCA must reconcile the two competing goals of providing realistic cues and limiting the simulator motion. The most widely used procedure for this process relies heavily on subjective evaluations by experienced pilots [1]. The relative lack of objective metrics to characterize "good" motion can lead to vastly different motion profiles between operational simulators.…”

Section: Introductionmentioning

confidence: 99%

“…However, at the time of writing, fidelity regions comparable to the ones proposed by Sinacori and Schroeder are based on the averaged response of ten simulators of various qualification levels and simulated aircraft types [9]. Alternative fidelity criteria based on pilot task performance during flight tasks are investigated [1]. Despite that no definitive fidelity criteria have yet been identified, OMCT has also been used for tuning of the MCA.…”

Section: Introductionmentioning

confidence: 99%

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Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Stoev

Paassen

Stroosma

et al. 2019

AIAA Scitech 2019 Forum

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The Eigenmode Distortion (EMD) analysis is a novel method for objective evaluation of simulator motion cueing fidelity, developed at Delft University of Technology. It expresses the distortions of the perceived motion cues in terms of the dynamic modes of a linear model of the vehicle and has been applied to assess rotorcraft simulations. This paper presents the adaptation of EMD for fixed wing aircraft, including performing the analysis at the pilot station instead of the centre of gravity. The method is applied to a combined linear model of a Cessna Citation 500 aircraft and the Classical Washout Algorithm (CWA). EMD is compared to the current state-of-the-art objective method, the Objective Motion Cueing Test (OMCT), which does not consider the dynamics of the simulated vehicle in its analysis. The two methods show different results in their cueing fidelity assessment of four CWA configurations. An experiment with six pilots is performed in the SIMONA Research Simulator to test the capability of EMD and OMCT to predict the cueing fidelity as perceived by pilots. The subjects perform pairwise comparisons between the four CWA configurations by exciting the short period dynamics of the aircraft. Results indicate that preferences vary considerably between pilots, causing both EMD and OMCT to show poor, but similar, predictive capabilities.

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Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Stoev

Paassen

Stroosma

et al. 2019

AIAA Scitech 2019 Forum

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“…1 In addition, very limited motion cueing guidelines and criteria are available to objectively tune simulator motion for pilot training. 2,3 The effects of motion system hardware and cueing characteristics on human manual control behavior and performance are relatively well understood. 2,[4][5][6] However, there is currently limited understanding of how these effects influence the acquisition of manual control skills in motion-base simulators and the transfer of the learned skills to the operational environment in an aircraft.…”

Section: Introductionmentioning

confidence: 99%

Effects of Motion Cues on the Training of Multi-Axis Manual Control Skills

Zaal

Mobertz

2017

AIAA Modeling and Simulation Technologies Conference

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The study described in this paper investigated the effects of two different hexapod motion configurations on the training and transfer of training of a simultaneous roll and pitch control task. Pilots were divided between two groups which trained either under a baseline hexapod motion condition, with motion typically provided by current training simulators, or an optimized hexapod motion condition, with increased fidelity of the motion cues most relevant for the task. All pilots transferred to the same full-motion condition, representing motion experienced in flight. A cybernetic approach was used that gave insights into the development of pilots' use of visual and motion cues over the course of training and after transfer. Based on the current results, neither of the hexapod motion conditions can unambiguously be chosen as providing the best motion for training and transfer of training of the used multi-axis control task. However, the optimized hexapod motion condition did allow pilots to generate less visual lead, control with higher gains, and have better disturbance-rejection performance at the end of the training session compared to the baseline hexapod motion condition. Significant adaptations in control behavior still occurred in the transfer phase under the full-motion condition for both groups. Pilots behaved less linearly compared to previous single-axis control-task experiments; however, this did not result in smaller motion or learning effects. Motion and learning effects were more pronounced in pitch compared to roll. Finally, valuable lessons were learned that allow us to improve the adopted approach for future transfer-of-training studies.

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“…The topic of evaluating and tuning an MCA is a very complicated one, since the problem is subjective but objective measurements are required to perform fair comparisons between different devices. There is a broad literature on the topic that readers could consult (Hosman and Advani, 2016;Zaal et al, 2015). An example of this kind of analysis can be found in (Casas et al, 2015) where real vehicle data is used.…”

Section: Analysis Of the Safe Zonesmentioning

confidence: 99%

Optimization of 3-DOF parallel motion devices for low-cost vehicle simulators

Casas

Coma

Portalés

et al. 2017

JAMDSM

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Motion generation systems are becoming increasingly important in certain Virtual Reality (VR) applications, such as vehicle simulators. This paper deals with the analysis of the Inverse Kinematics (IK) and the reachable workspace of a three-degrees-of-freedom (3-DOF) parallel manipulator, proposing different transformations and optimizations in order to simplify its use with Motion Cueing Algorithms (MCA) for self-motion generation in VR simulators. The proposed analysis and improvements are performed on a 3-DOF heave-pitch-roll manipulator with rotational motors, commonly used for low-cost motion-based commercial simulators. The analysis has been empirically validated against a real 3-DOF parallel manipulator in our labs using an optical tracking system. The described approach can be applied to any kind of 3-DOF parallel manipulator, or even to 6-DOF parallel manipulators. Moreover, the analysis includes objective measures (safe zones) on the workspace volume that can provide a simple but efficient way of comparing the kinematic capabilities of different kinds of motion platforms for this particular application. IntroductionHuman-computer interactions can be really complex in simulation systems where a believable motion generation is needed for the fulfilment of the simulation goals. The use of motion platforms to add inertial cues can significantly enhance the user immersion in the simulator, provided the system is properly tuned (Casas et al., 2016;Nahon and Reid, 1990;Reid and Nahon, 1986). The understanding of motion platforms' behavior and functioning is necessary to design effective and immersive experiences with this kind of simulators. In this regard, there are several works in the literature focused on the analysis of the behavior of several motion mechanisms with different features. However, it is hard to find research works focused on the peculiarities of the usage of motion platforms for motion generation in real-time vehicle simulation, which is the main target of this contribution.One of the most important features of motion platforms when used in vehicle simulators is the amount of linear and angular displacement the device is able to provide over the different axes. These features are crucial since they can affect the physical validity of the simulator (Reymond and Kemeny, 2000) and enhance/reduce the magnitude distortion (Sinacori, 1977) of the generated perceptual cues. In consequence, they condition the experience of the simulators' users (Casas et al., 2015). These features are generally known in the literature as the workspace. This workspace can be expressed in terms of a Cartesian space or in terms of the amount of degrees-of-freedom (DOF) the manipulator is able to reach. For motion simulation, it is much more interesting to analyze it in terms of DOF-space due to the fact that motion platforms are usually designed based on the DOF, rather than in absolute positions.The goal of these motion platforms is to provide the user with the most suitable perception of driving/piloting the...

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Objective motion cueing criteria investigation based on three flight tasks

Cited by 15 publications

References 9 publications

Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Eigenmode Distortion Analysis for Motion Cueing Evaluation in Fixed-Wing Aircraft Simulators

Effects of Motion Cues on the Training of Multi-Axis Manual Control Skills

Optimization of 3-DOF parallel motion devices for low-cost vehicle simulators

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