Measuring the Performance of the SIMONA Research Simulator's Motion System

Berkouwer, Walter; Stroosma, Olaf; Paassen, M. M. van; Mulder, Bob C.

doi:10.2514/6.2005-6504

Cited by 50 publications

(20 citation statements)

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“…The inputs and outputs of SIMONA simulator have been standardised such that the actuators are driven by a dSPACE/SIMULINK architecture. The interested reader can refer to [29][30][31][32] for more details about the visual system, simulator cab and flight desk of the SIMONA flight simulator.…”

Section: A Pilot Experimentsmentioning

confidence: 99%

Sensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft

Loza

Cieslak

Henry

et al. 2015

IET Control Theory & Applications

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In avionics and aerospace multisensor systems, reliable and early detection of individual sensor faults present substantial challenges to health monitoring designers of such systems. This study addresses the problem of sensor fault diagnosis. The proposed solution is based on a non-homogeneous high-order sliding mode observer used to estimate the faults, theoretically in finite time and in the presence of bounded disturbances. The sensor faults are estimated for the class of systems satisfying the structural property of strong observability. A key feature of the proposed solution is concerned by the effect that measurement noise could have on fault reconstruction. It is shown that the fault estimation error is bounded in the L ∞ -norm sense, and an upper bound is theoretically derived. The method is applied to the problem of sensor fault estimation of a large transport aircraft. Simulation results as well as a pilot experiment are presented to demonstrate the potential of the proposed method.

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Section: A Pilot Experimentsmentioning

confidence: 99%

Sensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft

Loza

Cieslak

Henry

et al. 2015

IET Control Theory & Applications

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“…The SRS motion system is a hexapod with hydraulic actuators (Fig. 5), providing a six degrees-of-freedom motion system that reproduces the aircraft's motion with a time delay of 30 ms. 32 Given that the task performed was a pure roll tracking task, only rotational roll motion was provided. The SRS workspace in terms of roll rotation is ±25.9 • , and in this experiment no roll motion filter was used, thus the controlled roll attitude φ was reproduced one-to-one, without washout filtering.…”

Section: Iid Apparatusmentioning

confidence: 99%

Effects of Peripheral Visual Cues in Simulator-Based Training of Multimodal Control Skills

Mendes

Pool

Paassen

2017

AIAA Modeling and Simulation Technologies Conference

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This paper describes a training experiment performed in the SIMONA Research Simulator at Delft University of Technology to evaluate the effectiveness of peripheral visual cues as a substitute for physical motion feedback during the development of multimodal control skills. Twenty task-naive participants were divided in two experimental groups and performed a skill-based compensatory roll tracking task. Both groups were trained in a fixed-base setting, but one group was provided with additional out-of-the-window peripheral visual (roll rate) cues. After training, participants were transferred to a moving-base condition where pure roll motion cues were provided. The development of skills in both groups throughout the experiment was studied and compared using fits of a multimodal human operator model with an error and a roll feedback response, to explicitly quantify operators' use of all supplied feedbacks. As expected, the group that had access to peripheral visual cues attained better tracking performance during training and showed the development of multimodal control behavior. However, no evident transfer of this developed multimodal control strategy to a motion setting was observed. This suggests that training with peripheral visual cues is not an effective substitute for training the multimodal skills human operators use when motion feedback is available.

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“…This simulator has a six-degree-of-freedom hexapod motion system driven by six hydraulic actuators. The time delay of the motion system has been determined to be around 30 ms. 28 During the experiment the pilots were seated in the right pilot seat and were operating an active electrical sidestick without breakout force to control the Boeing 747 model dynamics defined by Eq. (3).…”

Section: Iva Apparatusmentioning

confidence: 99%

Effects of Heave Washout Filtering on Motion Fidelity and Pilot Control Behavior for a Large Commercial Airliner

Wieringen

Pool

Paassen

2011

AIAA Modeling and Simulation Technologies Conference

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Due to the significant translational heave motion at the pilot station associated with changes in aircraft pitch attitude, the motion cueing for aircraft pitch maneuvering typically requires significant heave washout filtering. Previous studies that attempted to motivate choices in the motion cueing strategy for pitch maneuvering based on measurements of pilot behavior. For the small conventional aircraft considered in these studies, the results indicated that, despite the fact that pilots were found to adapt their control strategy to changes in heave cueing, the pitch rotation had a dominant influence on pilot behavior during pitch tracking. For large commercial airliners, a relevant application of this research as a lot of commercial pilot training occurs on moving-base simulators, the location of the pilot station is significantly further from the center of aircraft pitch rotation, yielding more pronounced heave motion cues during changes in pitch attitude. This difference, in addition to typically slower pitch dynamics that require more lead equalization, implies the best choice in motion cueing for large aircraft may be significantly different from what would be optimal for smaller aircraft. In this paper, an experiment is described in which pilot behavior is measured in a pitch attitude disturbance-rejection task with a controlled element and motion cueing conditions that are representative for a Boeing 747 aircraft. Different third-order heave washout filter settings were considered, in addition to a variation in the presence of 1-to-1 rotational pitch motion. Significant effects of the applied variation in pitch and heave motion cueing are observed, even though the effect of heave motion feedback is indeed found to be comparatively more important for larger aircraft. Furthermore, a heave motion filter that combined a low gain with low filter phase distortion was found to yield the least effect on pilot behavior, while for heave motion filters with a relatively high gain and high break frequency significantly larger contributions of motion feedback to pilot behavior were observed.

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Measuring the Performance of the SIMONA Research Simulator's Motion System

Cited by 50 publications

References 1 publication

Sensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft

Sensor fault diagnosis using a non‐homogeneous high‐order sliding mode observer with application to a transport aircraft

Effects of Peripheral Visual Cues in Simulator-Based Training of Multimodal Control Skills

Effects of Heave Washout Filtering on Motion Fidelity and Pilot Control Behavior for a Large Commercial Airliner

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