Fuzzy sliding mode control applied to low noise switched reluctance motor control

Hossein Rouhani; Caro Lucas; Rasoul Mohammadi Milasi; Mansour Nikkhah Bahrami

Fuzzy sliding mode control applied to low noise switched reluctance motor control

Hossein Rouhani, Caro Lucas, Rasoul Mohammadi Milasi, Mansour Nikkhah Bahrami

Penn State Fayette, The Eberly Campus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by Finite Element Method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.

Original language	English (US)
Title of host publication	Proceedings of the 5th International Conference on Control and Automation, ICCA'05
Pages	325-329
Number of pages	5
State	Published - 2005
Event	5th International Conference on Control and Automation, ICCA'05 - Budapest, Hungary Duration: Jun 27 2005 → Jun 29 2005

Publication series

Name	Proceedings of the 5th International Conference on Control and Automation, ICCA'05

Conference

Conference	5th International Conference on Control and Automation, ICCA'05
Country/Territory	Hungary
City	Budapest
Period	6/27/05 → 6/29/05

All Science Journal Classification (ASJC) codes

Engineering(all)

Cite this

@inproceedings{bd53369bfaf9425bb6e2cb438c6f7993,

title = "Fuzzy sliding mode control applied to low noise switched reluctance motor control",

abstract = "In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by Finite Element Method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.",

author = "Hossein Rouhani and Caro Lucas and Milasi, {Rasoul Mohammadi} and Bahrami, {Mansour Nikkhah}",

year = "2005",

language = "English (US)",

isbn = "0780391381",

series = "Proceedings of the 5th International Conference on Control and Automation, ICCA'05",

pages = "325--329",

booktitle = "Proceedings of the 5th International Conference on Control and Automation, ICCA'05",

note = "5th International Conference on Control and Automation, ICCA'05 ; Conference date: 27-06-2005 Through 29-06-2005",

}

Rouhani, H, Lucas, C, Milasi, RM & Bahrami, MN 2005, Fuzzy sliding mode control applied to low noise switched reluctance motor control. in Proceedings of the 5th International Conference on Control and Automation, ICCA'05., TA1-2.3, Proceedings of the 5th International Conference on Control and Automation, ICCA'05, pp. 325-329, 5th International Conference on Control and Automation, ICCA'05, Budapest, Hungary, 6/27/05.

Fuzzy sliding mode control applied to low noise switched reluctance motor control. / Rouhani, Hossein; Lucas, Caro; Milasi, Rasoul Mohammadi et al.
Proceedings of the 5th International Conference on Control and Automation, ICCA'05. 2005. p. 325-329 TA1-2.3 (Proceedings of the 5th International Conference on Control and Automation, ICCA'05).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Fuzzy sliding mode control applied to low noise switched reluctance motor control

AU - Rouhani, Hossein

AU - Lucas, Caro

AU - Milasi, Rasoul Mohammadi

AU - Bahrami, Mansour Nikkhah

PY - 2005

Y1 - 2005

N2 - In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by Finite Element Method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.

AB - In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by Finite Element Method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.

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M3 - Conference contribution

AN - SCOPUS:27844432078

SN - 0780391381

T3 - Proceedings of the 5th International Conference on Control and Automation, ICCA'05

SP - 325

EP - 329

BT - Proceedings of the 5th International Conference on Control and Automation, ICCA'05

T2 - 5th International Conference on Control and Automation, ICCA'05

Y2 - 27 June 2005 through 29 June 2005

ER -

Fuzzy sliding mode control applied to low noise switched reluctance motor control

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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