Applications of Vestibular System Response to Mission Risk Mitigation Factors and Spacecraft Design Requirements

2003 ◽  
Author(s):  
Kenneth J. Stroud ◽  
David M. Klaus ◽  
Deborah L. Harm
Keyword(s):  
Vestibular System ◽  
Risk Mitigation ◽  
System Response ◽  
Spacecraft Design ◽  
Design Requirements

Experimental Determination of a Portion of the Human Vestibular System Response Through Measurement of Eyeball Counterroll

1966 ◽  
Vol BME-13 (2) ◽  
pp. 65-70 ◽  
Author(s):  
R. A. Hannen ◽  
M. Kabrisky ◽  
C. R. Replogle ◽  
V. L. Hartzler ◽  
P. A. Roccaforte
Keyword(s):  
Experimental Determination ◽  
Vestibular System ◽  
System Response

scholarly journals Genetic Algorithm-Based Tuning of Backstepping Controller for a Quadrotor-Type Unmanned Aerial Vehicle

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1735
Author(s):  
Omar Rodríguez-Abreo ◽  
Juan Manuel Garcia-Guendulain ◽  
Rodrigo Hernández-Alvarado ◽  
Alejandro Flores Rangel ◽  
Carlos Fuentes-Silva
Keyword(s):  
Genetic Algorithms ◽  
Unmanned Aerial Vehicle ◽  
Control Technique ◽  
Design Parameters ◽  
System Response ◽  
Control Law ◽  
Self Tuning ◽  
Aerial Vehicle ◽  
Design Requirements ◽  
Backstepping Controller

Backstepping is a control technique based on Lyapunov’s theory that has been successfully implemented in the control of motors and robots by several nonlinear methods. However, there are no standardized methods for tuning control gains (unlike the PIDs). This paper shows the tuning gains of the backstepping controller, using Genetic Algorithms (GA), for an Unmanned Aerial Vehicle (UAV), quadrotor type, designed for autonomous trajectory tracking. First, a dynamic model of the vehicle is obtained through the Newton‒Euler methodology. Then, the control law is obtained, and self-tuning is performed, through which we can obtain suitable values of the gains in order to achieve the design requirements. In this work, the establishment time and maximum impulse are considered as such. The tuning and simulations of the system response were performed using the MATLAB-Simulink environment, obtaining as a result the compliance of the design parameters and the correct tracking of different trajectories. The results show that self-tuning by means of genetic algorithms satisfactorily adjusts for the gains of a backstepping controller applied to a quadrotor and allows for the implementation of a control system that responds appropriately to errors of different magnitude.

Probabilistic modelling of safety and damage blast risks for window glazingThis paper is one of a selection of papers in the Special Issue on Blast Engineering.

2009 ◽  
Vol 36 (8) ◽  
pp. 1321-1331 ◽  
Author(s):  
Michael D. Netherton ◽  
Mark G. Stewart
Keyword(s):  
Structural Reliability ◽  
Risk Mitigation ◽  
Forensic Analysis ◽  
System Response ◽  
Computational Techniques ◽  
Limit States ◽  
Response Planning ◽  
Blast Response ◽  
Extent Of Damage ◽  
The Uk

There are many computational techniques to model the consequences to built infrastructure when subject to explosive blast loads; however, the majority of these do not account for the uncertainties associated with system response or blast loading. This paper describes a new computational model, called “Blast-RF” (Blast Risks for Facades), that incorporates existing (deterministic) blast-response models within an environment that considers threat and (or) vulnerability uncertainties and variability using probability and structural reliability theory. The structural reliability analysis uses stress limit states and the UK Glazing Hazard Guide's rating criteria to calculate probabilities of glazing damage and occupant safety hazards conditional on a given blast scenario. This allows the prediction of likelihood and extent of damage and (or) casualties, useful information for risk mitigation considerations, emergency service's contingency and response planning, collateral damage estimation, weaponeering, and post-blast forensic analysis.

Vibrating Beam Technique for Measuring Animal Natural Frequency

1995 ◽  
Vol 14 (3) ◽  
pp. 119-133 ◽  
Author(s):  
John M Randall ◽  
Chaoying Peng
Keyword(s):  
Resonant Frequency ◽  
Natural Frequency ◽  
Natural Frequencies ◽  
Frequency Measurement ◽  
System Response ◽  
Single System ◽  
Design Requirements ◽  
Modal Mass ◽  
Two Degree Of Freedom ◽  
Beam Technique

The discomfort to animals arising from vibration during transport is likely to be greatest at their natural resonant frequency. This frequency can be measured without compromising animal welfare by placing them on a simple beam support at each end which is caused to vibrate by a small impulse. The optimum beam to give stable and accurate results for this technique is evaluated using a two-degree-of-freedom model. Some design requirements are contradictory, for example sensitivity to the resolution of frequency measurement and the benefits of having a single system response. These problems are alleviated by specifying a unified accuracy at both of the system natural frequencies. In this case the natural frequency of the beam should be twice that of the animal and the modal mass of the beam should equal that of the animal.

The Vestibular System Modeling in the Head and Eye Movement Research

2012 ◽  
Vol 605-607 ◽  
pp. 2434-2437
Author(s):  
Chang Yuan Wang ◽  
Bing Yao ◽  
Hong Zhe Bi ◽  
Hong Bo Jia
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Vestibular System ◽  
System Modeling ◽  
Body Movement ◽  
The Body ◽  
Head Movements ◽  
System Response ◽  
Movement Response ◽  
Movement System

Head and eye movement is eye movement response to head movements ,the eyes are the signals generated by the vestibular system is movement.The vestibular system is important to feel the organs and tissues of the body movement,Can be said that the vestibular system response to head movement, eye movement associated with the vestibule.We can use eye movements comparing with normal eye movements to detect whether the dizziness,in this process the modeling of the vestibular system is very important.Paper summarizes the response of head and eye movement system, vestibular system in the head and eye movement systems vestibular system exercise and Research at home and abroad, raised modeling method of the head and eye movement system when turn the head.

Noise-Induced Balance Loss? Rethinking Clinical Implications of Noise Exposure

2019 ◽  
Vol 4 (6) ◽  
pp. 1418-1422
Author(s):  
Bre Myers ◽  
J. Andrew Dundas
Keyword(s):  
Vestibular System ◽  
Noise Exposure ◽  
Balance Control ◽  
Scope Of Practice ◽  
Hearing Conservation ◽  
Exposed Population ◽  
Auditory Systems ◽  
Current Article ◽  
Balance Loss ◽  
Cross System

Purpose The primary aim of the current article is to provide a brief review of the literature regarding the effects of noise exposure on the vestibular and balance control systems. Although the deleterious effects of noise on the auditory system are widely known and continue to be an active area of research, much less is known regarding the effects of noise on the peripheral vestibular system. Audiologists with working knowledge of how both systems interact and overlap are better prepared to provide comprehensive care to more patients as assessment of both the auditory and vestibular systems has been in the audiologists' scope of practice since 1992. Method A narrative review summarizes salient findings from the archival literature. Results Temporary and permanent effects on vestibular system function have been documented in multiple studies. Hearing conservation, vestibular impairment, and fall risk reduction may be more intimately related than previously considered. Conclusions A full appreciation of both the vestibular and auditory systems is necessary to address the growing and aging noise-exposed population. More cross-system studies are needed to further define the complex relationship between the auditory and vestibular systems to improve comprehensive patient care.

Evaluation of the vestibular system in experimental animal research: morphology and electrophysiology

2000 ◽  
Vol 25 (4) ◽  
pp. 328-328
Author(s):  
M.L.Y.M. Oei ◽  
J.M. Segenhout ◽  
F. Dijk ◽  
H.P. Wit ◽  
F.W.J. Albers
Keyword(s):  
Experimental Animal ◽  
Vestibular System ◽  
Animal Research
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