Influence of control modes and complexity on performance of manual-control spacecraft rendezvous and docking

Zhang, Y.J.; Xu, Yong-zhong; Li, J.; Li, Zhizhong; Wu, Shaobo

doi:10.1109/ieem.2007.4419228

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…However, this hypothesis should be validated in advance. Furthermore, operation complexity theory could be referred to develop spaceflight operation difficulty measures to quantify the difficulty level of RVD operations [19]. An interesting thing is that Jorna concluded spectral measures are not sensitive to increased difficulty levels within the same type of task [20].…”

Section: Discussionmentioning

confidence: 99%

Using Physiological Parameters to Evaluate Operator’s Workload in Manual Controlled Rendezvous and Docking (RVD)

Hou

Zhi

et al. 2011

Digital Human Modeling

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How to train the astronauts for complicated operation in spaceflight such as manually controlled rendezvous and docking (RVD) is a common and important question. In this paper, two training methods named Routine method and Confusing method were proposed from astronaut training experience. Two-factor experiment was conducted. The factors are training method and operation difficulty level. Sixteen male subjects participated in this experiment. Eight participants were trained with Routine method and the other eight trained with Confusing method. Physiological parameters, such as respiratory rate, body temperature, heart rate (HR) and heart rate variability (HRV), were adopted as the dependent variables to evaluate operator's workload. Results show that there are significant differences on body temperature, respiratory rate, cubic root of high frequency component (HF) of HRV, normalized low frequency component (LFNu) of HRV, and mean heart rate (HR) (p values are 0.010, 0.000, 0.042, 0.009 and 0.000, respectively) between training methods, while other physiological parameters show no significant difference. Furthermore, only significant difference on body temperature (p value is 0.010) was found between different operation difficulty levels. Therefore, suitable training methods deserve thorough investigation since they have significant effects on the physiological workload of the operators. In conclusion, this work provides insight into the effect of some influencing factors to workload during the RVD procedure, and will benefit the astronaut training in future.

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Section: Discussionmentioning

confidence: 99%

Using Physiological Parameters to Evaluate Operator’s Workload in Manual Controlled Rendezvous and Docking (RVD)

Hou

Zhi

et al. 2011

Digital Human Modeling

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“…Statistical tests must be used to analyze datasets containing large variances. As such, they are commonly used in the evaluation of the performance of piloted [27][28][29][30][31] or teleoperated [32][33][34] systems. Since the guidance and control algorithm tested in this paper generated substantial variances in its maneuver performance, the use of statistical analysis methods was required.…”

Section: Discussionmentioning

confidence: 99%

“…The experimental results are analyzed by using a two-way analysis of variance (ANOVA) [25] and post hoc Tukey multiple comparison tests [26]. These methods are commonly used in the evaluation of piloted [27][28][29][30][31] or teleoperated [32][33][34] systems to identify significant differences within data sets with substantial variance. Statistical analysis methods are not common in the evaluation of the performance of autonomous robotic system, since these are considered to be deterministic in nature and produce small variances in their performance.…”

Section: Introductionmentioning

confidence: 99%

Experimental Characterization of Inverse Dynamics Guidance in Docking with a Rotating Target

Wilde

Ciarcià

Grompone

et al. 2016

Journal of Guidance, Control, and Dynamics

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The performance of an inverse dynamics guidance and control strategy is experimentally evaluated for the planar maneuver of a "chaser" spacecraft docking with a rotating "target." The experiments were conducted on an airbearing proximity maneuver testbed. The chaser spacecraft simulator consists of a three-degree-of-freedom autonomous vehicle floating via air pads on a granite table and actuated by thrusters. The target consists of a docking interface mounted on a rotational stage with the rotation axis perpendicular to the plane of motion. Given a preassigned trajectory, the guidance and control strategy computes the required maneuver control forces and torque via an inverse dynamics operation. The recorded data of 150 experimental test runs were analyzed using two-way analysis of variance and post hoc Tukey tests. The metrics were maneuver success, vehicle mass change, maneuver duration, thruster duty cycle, and maneuver work. The results showed that the guidance and control algorithm provided robust performance over a range of target rotation rates from 1 to 4 deg ∕s. = maximum available torque, N · m T z = chaser torque about z axis of laboratory coordinate system, N · m t = maneuver time, s t D = total duration of docking maneuver, s t DA = duration of final docking approach, s t FF = duration of free-flight phase, s t f = final maneuver time, s W = maneuver work, J x C ; y C T = planar position vector of chaser center of mass in laboratory coordinate system, m x T ; y T T = planar position vector of the target center of rotation in laboratory coordinate system, m x; y; z = Cartesian coordinate system fixed in laboratory x 0 ; y 0 ; z 0 = Cartesian coordinate system fixed to chaser spacecraft simulator x 0 0 ; y 0 0 ; z 0 0 = Cartesian coordinate system fixed to target object γ = auxiliary maneuver targeting angle, rad Δm = chaser mass change, kg Δr = positioning tolerance for completion of docking maneuver, m Δt DA = extended maneuver time beyond nominal maneuver time, s Δt G = time step of the guidance algorithm, s ζ = auxiliary maneuver targeting angle, rad θ C = chaser orientation angle in relation to laboratory coordinate system, rad θ T = target orientation angle in relation to laboratory coordinate system, rad χ ij = thruster activity for thruster j at time step ∈ 0; 1, s ω T = target object angular rate, rad∕s

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“…Manual rendezvous and docking (RVD) is crucial for the success of missions such as assembly of large units in orbit, re-supply and exchange of crew of orbital platforms and stations, and lunar/planetary missions (Zhang et al, 2008 ). Although automation is intensively used in the RVD system, manual RVD remains the most important element to finish space missions and considered as a crucial skill astronauts must master because astronauts are still required to interact with autonomous systems and be ready to take over when automation is failing (Parasuraman and Wickens, 2008 ; O'Connor and Chief, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

The influence of spatial ability and experience on performance during spaceship rendezvous and docking

Zhang

Tian³

et al. 2015

Front. Psychol.

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Manual rendezvous and docking (manual RVD) is a challenging space task for astronauts. Previous research showed a correlation between spatial ability and manual RVD skills among participants at early stages of training, but paid less attention to experts. Therefore, this study tried to explore the role of spatial ability in manual RVD skills in two groups of trainees, one relatively inexperienced and the other experienced operators. Additionally, mental rotation has been proven essential in RVD and was tested in this study among 27 male participants, 15 novices, and 12 experts. The participants performed manual RVD tasks in a high fidelity simulator. Results showed that experience moderated the relation between mental rotation ability and manual RVD performance. On one hand, novices with high mental rotation ability tended to perform that RVD task more successfully; on the other hand, experts with high mental rotation ability showed not only no performance advantage in the final stage of the RVD task, but had certain disadvantages in their earlier processes. Both theoretical and practical implications were discussed.

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Influence of control modes and complexity on performance of manual-control spacecraft rendezvous and docking

Cited by 4 publications

References 4 publications

Using Physiological Parameters to Evaluate Operator’s Workload in Manual Controlled Rendezvous and Docking (RVD)

Using Physiological Parameters to Evaluate Operator’s Workload in Manual Controlled Rendezvous and Docking (RVD)

Experimental Characterization of Inverse Dynamics Guidance in Docking with a Rotating Target

The influence of spatial ability and experience on performance during spaceship rendezvous and docking

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