Speed control design of a 2-mass drive system by using integrated fuzzy observer and linear quadratic control

Neng Sheng Pai, Tzuu Hseng S. Li

Research output: Contribution to journalConference article

Abstract

This paper presents a control scheme for the speed controller in a 2- mass motor drive system. The speed controller is based on state feedback compensation. The state observer obtains unmeasured states for this system is not only accuracy but also fast by utilizing the integrated fuzzy observer. The optimal controller configuration is composed by a load compensator and a linear quadratic (LQ) regulator including an integrator. The load disturbance is directly compensated by the estimated load. Simulation results show that the proposed integrated fuzzy observer provide the better estimation performance than that of the Kalman filter and the proposed control scheme can effectively track the desired speed in the presence of load disturbance.

Original languageEnglish
Pages (from-to)58-63
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
Volume1
Publication statusPublished - 2002 Dec 31
Event2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States
Duration: 2002 May 122002 May 17

Fingerprint

Fuzzy Observer
Linear Quadratic Control
Speed Control
Speed control
Control Design
Controllers
Controller
Disturbance
State feedback
Kalman filters
State Observer
Compensator
State Feedback
Regulator
Kalman Filter
Configuration
Simulation

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

@article{01f396e7de9045839da912e31328615b,
title = "Speed control design of a 2-mass drive system by using integrated fuzzy observer and linear quadratic control",
abstract = "This paper presents a control scheme for the speed controller in a 2- mass motor drive system. The speed controller is based on state feedback compensation. The state observer obtains unmeasured states for this system is not only accuracy but also fast by utilizing the integrated fuzzy observer. The optimal controller configuration is composed by a load compensator and a linear quadratic (LQ) regulator including an integrator. The load disturbance is directly compensated by the estimated load. Simulation results show that the proposed integrated fuzzy observer provide the better estimation performance than that of the Kalman filter and the proposed control scheme can effectively track the desired speed in the presence of load disturbance.",
author = "Pai, {Neng Sheng} and Li, {Tzuu Hseng S.}",
year = "2002",
month = "12",
day = "31",
language = "English",
volume = "1",
pages = "58--63",
journal = "IEEE International Conference on Fuzzy Systems",
issn = "1098-7584",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

Speed control design of a 2-mass drive system by using integrated fuzzy observer and linear quadratic control. / Pai, Neng Sheng; Li, Tzuu Hseng S.

In: IEEE International Conference on Fuzzy Systems, Vol. 1, 31.12.2002, p. 58-63.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Speed control design of a 2-mass drive system by using integrated fuzzy observer and linear quadratic control

AU - Pai, Neng Sheng

AU - Li, Tzuu Hseng S.

PY - 2002/12/31

Y1 - 2002/12/31

N2 - This paper presents a control scheme for the speed controller in a 2- mass motor drive system. The speed controller is based on state feedback compensation. The state observer obtains unmeasured states for this system is not only accuracy but also fast by utilizing the integrated fuzzy observer. The optimal controller configuration is composed by a load compensator and a linear quadratic (LQ) regulator including an integrator. The load disturbance is directly compensated by the estimated load. Simulation results show that the proposed integrated fuzzy observer provide the better estimation performance than that of the Kalman filter and the proposed control scheme can effectively track the desired speed in the presence of load disturbance.

AB - This paper presents a control scheme for the speed controller in a 2- mass motor drive system. The speed controller is based on state feedback compensation. The state observer obtains unmeasured states for this system is not only accuracy but also fast by utilizing the integrated fuzzy observer. The optimal controller configuration is composed by a load compensator and a linear quadratic (LQ) regulator including an integrator. The load disturbance is directly compensated by the estimated load. Simulation results show that the proposed integrated fuzzy observer provide the better estimation performance than that of the Kalman filter and the proposed control scheme can effectively track the desired speed in the presence of load disturbance.

UR - http://www.scopus.com/inward/record.url?scp=0036456213&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036456213&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036456213

VL - 1

SP - 58

EP - 63

JO - IEEE International Conference on Fuzzy Systems

JF - IEEE International Conference on Fuzzy Systems

SN - 1098-7584

ER -