NDLI: Y-Thompson regulating control using adaptive predictive fuzzy logic for a micro-satellite

Content Provider	IEEE Xplore Digital Library
Author	Nagarajan, R. Paulraj, M.P. Yaacob, S. Zain, Z.M. Hoh, W.S.K. Arshad, A.S.
Copyright Year	2009
Description	Author affiliation: Astronautic Technology (M) Sdn Bhd, No 2 Jalan Jururancang U1/21, Section U1 Hicom Glenmarie Industrial Park, 40000 Shah Alam, Selangor, MALAYSIA (Hoh, W.S.K.; Arshad, A.S.) \|\| School of Mechatronic, Universiti Malaysia Perlis, 02600 Jejawi, Malaysia (Nagarajan, R.; Paulraj, M.P.; Yaacob, S.; Zain, Z.M.)
Abstract	Attitude control system is designed to change the attitude of a satellite, able to meet pointing requirement, eliminating external disturbances, a low-cost controller as well as a high reliability control system which can be applied and embedded to a real time application. An adaptive predictive Mamdani fuzzy logic controller (FLC) is introduced in this paper. A predictive control is needed to estimate required control torque at the next sampling time since the satellite system is having time delays. The adaptive portion is using a model reference and the response of the satellite is compared to minimize the output error by adapting the adaptive gain to the controller torque. Y-Thompson regulating control is adapted to the satellite system as the reference input throughout the simulation. The design schemes of modeling adaptive and predictive FLC are described as follow: Basic FLC, Predictive FLC and Adaptive and Predictive FLC (APFLC). The simulation results show that the attitude motion can be controlled with adaptive and predictive FLC even in the presence of noise, disturbance and nonlinearity.
Starting Page	23
Ending Page	28
File Size	792808
Page Count	6
File Format	PDF
ISBN	9781424441518
DOI	10.1109/CSPA.2009.5069180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-06
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Real time systems Programmable control Satellites Attitude control Torque control Predictive models Control systems Adaptive control Predictive control
Content Type	Text
Resource Type	Article

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