Optimization of fuzzy controller for minimum time response

Minimum time control is desired for non-linear spacecraft-satellite attitude systems to save on-board thruster fuel. The regulatory time depends on the initial attitude of the satellite. Bang-bang control of satellite attitude can be accomplished with fuzzy logic controller using largest of Maxima d...

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Main Authors: Nagi F., Perumal L.
Other Authors: 56272534200
Format: Article
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-309102023-12-29T15:55:43Z Optimization of fuzzy controller for minimum time response Nagi F. Perumal L. 56272534200 24451029600 Attitude control Bang-bang Fuzzy controller Largest of maximum Membership function spans Optimization Pneumatic rotary actuator Real-time workshop Self tuning parameters Thruster xPC target Attitude control Bang bang control systems Fuzzy logic Membership functions Navigation Optimization Pneumatic actuators Pneumatics Satellites Bang-bang Fuzzy controllers Largest of maximum Pneumatic rotary actuator Real time workshop Self tuning parameters Thruster xPC target Controllers Minimum time control is desired for non-linear spacecraft-satellite attitude systems to save on-board thruster fuel. The regulatory time depends on the initial attitude of the satellite. Bang-bang control of satellite attitude can be accomplished with fuzzy logic controller using largest of Maxima defuzzification technique. In case of fuzzy controller, earlier studies show that minimum response time depends on the span of the fuzzy controller membership functions. This paper shows how the non-linear relation between the initial attitude of satellite and spans of the fuzzy controller membership functions are optimized to achieve minimum response time by using Nelder-Mead simplex search method. A practical demonstration of fuzzy bang-bang control is demonstrated here by controlling angular position of a single axis attitude application. The pneumatic rotary actuator is controlled in real-time using Matlab-Simulink xPC target environment. � 2008 Elsevier Ltd. All rights reserved. Final 2023-12-29T07:55:43Z 2023-12-29T07:55:43Z 2009 Article 10.1016/j.mechatronics.2008.11.005 2-s2.0-62249191341 https://www.scopus.com/inward/record.uri?eid=2-s2.0-62249191341&doi=10.1016%2fj.mechatronics.2008.11.005&partnerID=40&md5=336712d2d8fc40bb99ab8b997aa4f0ed https://irepository.uniten.edu.my/handle/123456789/30910 19 3 325 333 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Attitude control
Bang-bang
Fuzzy controller
Largest of maximum
Membership function spans
Optimization
Pneumatic rotary actuator
Real-time workshop
Self tuning parameters
Thruster
xPC target
Attitude control
Bang bang control systems
Fuzzy logic
Membership functions
Navigation
Optimization
Pneumatic actuators
Pneumatics
Satellites
Bang-bang
Fuzzy controllers
Largest of maximum
Pneumatic rotary actuator
Real time workshop
Self tuning parameters
Thruster
xPC target
Controllers
spellingShingle Attitude control
Bang-bang
Fuzzy controller
Largest of maximum
Membership function spans
Optimization
Pneumatic rotary actuator
Real-time workshop
Self tuning parameters
Thruster
xPC target
Attitude control
Bang bang control systems
Fuzzy logic
Membership functions
Navigation
Optimization
Pneumatic actuators
Pneumatics
Satellites
Bang-bang
Fuzzy controllers
Largest of maximum
Pneumatic rotary actuator
Real time workshop
Self tuning parameters
Thruster
xPC target
Controllers
Nagi F.
Perumal L.
Optimization of fuzzy controller for minimum time response
description Minimum time control is desired for non-linear spacecraft-satellite attitude systems to save on-board thruster fuel. The regulatory time depends on the initial attitude of the satellite. Bang-bang control of satellite attitude can be accomplished with fuzzy logic controller using largest of Maxima defuzzification technique. In case of fuzzy controller, earlier studies show that minimum response time depends on the span of the fuzzy controller membership functions. This paper shows how the non-linear relation between the initial attitude of satellite and spans of the fuzzy controller membership functions are optimized to achieve minimum response time by using Nelder-Mead simplex search method. A practical demonstration of fuzzy bang-bang control is demonstrated here by controlling angular position of a single axis attitude application. The pneumatic rotary actuator is controlled in real-time using Matlab-Simulink xPC target environment. � 2008 Elsevier Ltd. All rights reserved.
author2 56272534200
author_facet 56272534200
Nagi F.
Perumal L.
format Article
author Nagi F.
Perumal L.
author_sort Nagi F.
title Optimization of fuzzy controller for minimum time response
title_short Optimization of fuzzy controller for minimum time response
title_full Optimization of fuzzy controller for minimum time response
title_fullStr Optimization of fuzzy controller for minimum time response
title_full_unstemmed Optimization of fuzzy controller for minimum time response
title_sort optimization of fuzzy controller for minimum time response
publisher Elsevier Ltd
publishDate 2023
_version_ 1806428104235679744