A hybrid control scheme for a twin rotor system with multi objective genetic algorithm
Control of vibration suppressions is crucial for applications in engineering particularly in the area of aircraft system. A hybrid control approach encompasses of using a feedforward intelligent command shaping technique with combination of intelligent PID feedback control is presented in...
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my.iium.irep.71222012-10-09T01:00:19Z http://irep.iium.edu.my/7122/ A hybrid control scheme for a twin rotor system with multi objective genetic algorithm Toha, Siti Fauziah Tokhi, M. Osman TA Engineering (General). Civil engineering (General) Control of vibration suppressions is crucial for applications in engineering particularly in the area of aircraft system. A hybrid control approach encompasses of using a feedforward intelligent command shaping technique with combination of intelligent PID feedback control is presented in this paper. The advantage of using command shaping is to reduce system vibration. However, it can cause delay in system response resulting to a conflict between vibration suppression and rise time response. Multi objective genetic algorithm is employ in this work to determine a set of solutions for the amplitudes and corresponding time locations of impulses on an extra sensitive (EI) command shaping as well as gain parameters for the PID controller. The effectiveness of the proposed technique is assessed both in the time domain and the frequency domain. Moreover, a comparative assessment of the performance of the technique with the system response and unshaped finite step input is presented. 2010 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/7122/1/05481088.pdf Toha, Siti Fauziah and Tokhi, M. Osman (2010) A hybrid control scheme for a twin rotor system with multi objective genetic algorithm. In: IEEE Proceedings of UKSim 2010: 12th International Conference on Computer Modelling and Simulation, 2010, 24-26 March 2010, Cambridge University. http://dx.doi.org/10.1109/UKSIM.2010.28 doi:10.1109/UKSIM.2010.28 |
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TA Engineering (General). Civil engineering (General) Toha, Siti Fauziah Tokhi, M. Osman A hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
description |
Control of vibration suppressions is crucial
for applications in engineering particularly in the area of
aircraft system. A hybrid control approach encompasses
of using a feedforward intelligent command shaping
technique with combination of intelligent PID feedback
control is presented in this paper. The advantage of
using command shaping is to reduce system vibration.
However, it can cause delay in system response resulting
to a conflict between vibration suppression and rise time
response. Multi objective genetic algorithm is employ in
this work to determine a set of solutions for the
amplitudes and corresponding time locations of impulses
on an extra sensitive (EI) command shaping as well as
gain parameters for the PID controller. The effectiveness
of the proposed technique is assessed both in the time
domain and the frequency domain. Moreover, a
comparative assessment of the performance of the
technique with the system response and unshaped finite
step input is presented. |
format |
Conference or Workshop Item |
author |
Toha, Siti Fauziah Tokhi, M. Osman |
author_facet |
Toha, Siti Fauziah Tokhi, M. Osman |
author_sort |
Toha, Siti Fauziah |
title |
A hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
title_short |
A hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
title_full |
A hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
title_fullStr |
A hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
title_full_unstemmed |
A hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
title_sort |
hybrid control scheme for a twin rotor system with multi objective genetic algorithm |
publishDate |
2010 |
url |
http://irep.iium.edu.my/7122/1/05481088.pdf http://irep.iium.edu.my/7122/ http://dx.doi.org/10.1109/UKSIM.2010.28 |
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1643605877864792064 |
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13.211869 |