A hybrid Neuro-Fuzzy - P.I. speed controller for B.L.D.C. enriched with an integral steady state error eliminator
This paper is subject to present a hybrid Neuro-Fuzzy (N.F.) - P.I. fed Controller for controlling the speed of B.L.D.C. (Brush Less D.C.) motors to evolve the drives controlling performance at both transient and steady state conditions by considering a paralleled robust integral S.S.E.E. (Steady St...
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Published in | 2012 IEEE International Conference on Control System, Computing and Engineering pp. 234 - 237 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2012
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Subjects | |
Online Access | Get full text |
ISBN | 9781467331425 1467331422 |
DOI | 10.1109/ICCSCE.2012.6487147 |
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Abstract | This paper is subject to present a hybrid Neuro-Fuzzy (N.F.) - P.I. fed Controller for controlling the speed of B.L.D.C. (Brush Less D.C.) motors to evolve the drives controlling performance at both transient and steady state conditions by considering a paralleled robust integral S.S.E.E. (Steady State Error Eliminator) to enrich the whole controlling process. In the presented hybrid system, P.I. N.F.C. is the main controller loop while the paralleled integral S.S.E.E. controller reimburses the steady state errors. The presented B.L.D.C. drive contains the capabilities of quick tracking, small steady state error and high stability despite of all load and parameter variations. MATLAB simulation results depict the impressiveness of the presented controlling system. |
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AbstractList | This paper is subject to present a hybrid Neuro-Fuzzy (N.F.) - P.I. fed Controller for controlling the speed of B.L.D.C. (Brush Less D.C.) motors to evolve the drives controlling performance at both transient and steady state conditions by considering a paralleled robust integral S.S.E.E. (Steady State Error Eliminator) to enrich the whole controlling process. In the presented hybrid system, P.I. N.F.C. is the main controller loop while the paralleled integral S.S.E.E. controller reimburses the steady state errors. The presented B.L.D.C. drive contains the capabilities of quick tracking, small steady state error and high stability despite of all load and parameter variations. MATLAB simulation results depict the impressiveness of the presented controlling system. |
Author | Mansouri, M. Selvaraj, J. Ahmadian, J. Kaboli, S. H. A. |
Author_xml | – sequence: 1 givenname: M. surname: Mansouri fullname: Mansouri, M. email: mh.mansouri@gmail.com organization: Univ. of Malaya, Kuala Lumpur, Malaysia – sequence: 2 givenname: S. H. A. surname: Kaboli fullname: Kaboli, S. H. A. email: kaboli0004@gmail.com organization: Univ. of Malaya, Kuala Lumpur, Malaysia – sequence: 3 givenname: J. surname: Ahmadian fullname: Ahmadian, J. email: ahmadian.jalil@gmail.com organization: Univ. of Malaya, Kuala Lumpur, Malaysia – sequence: 4 givenname: J. surname: Selvaraj fullname: Selvaraj, J. email: jeyraj@um.edu.my organization: Univ. of Malaya, Kuala Lumpur, Malaysia |
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Snippet | This paper is subject to present a hybrid Neuro-Fuzzy (N.F.) - P.I. fed Controller for controlling the speed of B.L.D.C. (Brush Less D.C.) motors to evolve the... |
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SubjectTerms | B.L.D.C. Speed Control Hybrid Neuro-Fuzzy Integral Steady State Error Elimination Nonlinear Control |
Title | A hybrid Neuro-Fuzzy - P.I. speed controller for B.L.D.C. enriched with an integral steady state error eliminator |
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