Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm
This paper deals with an interesting application of designing a Fractional Order Controller for a Servo hydraulic positioning system, to compensate the negative effects of fluid leakage across a faulty actuator piston seal. A novel micro artificial bee colony algorithm (μABC) has been proposed for d...
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sg-ntu-dr.10356-845142020-03-07T13:24:44Z Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm Rajasekhar, Anguluri. Das, Swagatam. Suganthan, P. N. School of Electrical and Electronic Engineering IEEE Congress on Evolutionary Computation (2012 : Brisbane, Australia) DRNTU::Engineering::Electrical and electronic engineering This paper deals with an interesting application of designing a Fractional Order Controller for a Servo hydraulic positioning system, to compensate the negative effects of fluid leakage across a faulty actuator piston seal. A novel micro artificial bee colony algorithm (μABC) has been proposed for designing this Fractional order Controller based on minimizing Integral Time Absolute Error (ITAE) criterion. As μABC requires a less number of bees, the solution is obtained much faster than that of basic Artificial Bee Colony (ABC) method. Simulations and comparisons of proposed method along with that of GA and an adaptive variant of ABC in terms of time domain indices indicate the superiority of μABC in designing the fractional controller for a much complex plant. 2013-07-23T03:22:55Z 2019-12-06T15:46:20Z 2013-07-23T03:22:55Z 2019-12-06T15:46:20Z 2012 2012 Conference Paper Rajasekhar, A., Das, S., & Suganthan, P. N. (2012). Design of Fractional Order Controller for a servohydraulic positioning system with micro Artificial Bee Colony algorithm. 2012 IEEE Congress on Evolutionary Computation (CEC). https://hdl.handle.net/10356/84514 http://hdl.handle.net/10220/12036 10.1109/CEC.2012.6256644 en © 2012 IEEE. |
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DRNTU::Engineering::Electrical and electronic engineering Rajasekhar, Anguluri. Das, Swagatam. Suganthan, P. N. Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
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This paper deals with an interesting application of designing a Fractional Order Controller for a Servo hydraulic positioning system, to compensate the negative effects of fluid leakage across a faulty actuator piston seal. A novel micro artificial bee colony algorithm (μABC) has been proposed for designing this Fractional order Controller based on minimizing Integral Time Absolute Error (ITAE) criterion. As μABC requires a less number of bees, the solution is obtained much faster than that of basic Artificial Bee Colony (ABC) method. Simulations and comparisons of proposed method along with that of GA and an adaptive variant of ABC in terms of time domain indices indicate the superiority of μABC in designing the fractional controller for a much complex plant. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Rajasekhar, Anguluri. Das, Swagatam. Suganthan, P. N. |
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Conference or Workshop Item |
author |
Rajasekhar, Anguluri. Das, Swagatam. Suganthan, P. N. |
author_sort |
Rajasekhar, Anguluri. |
title |
Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
title_short |
Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
title_full |
Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
title_fullStr |
Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
title_full_unstemmed |
Design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
title_sort |
design of fractional order controller for a servohydraulic positioning system with micro artificial bee colony algorithm |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/84514 http://hdl.handle.net/10220/12036 |
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1681044634188382208 |