Design and implementation of integrated fuzzy logic controller for a servomotor system

Ming Yuan Shieh; Tzuu Hseng S. Li

doi:10.1016/s0957-4158(97)00052-4

Design and implementation of integrated fuzzy logic controller for a servomotor system

Ming Yuan Shieh
, Tzuu Hseng S. Li

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

In this paper, we present the design and implementation of an integrated fuzzy logic controller (IFLC) for a DC-servomotor system. The proposed strategy is intended to improve the performance of the original control system by use of a fuzzy logic controller (FLC) as the motor load changes. Both computer simulation and experimental implementation demonstrate that IFLC is particularly effective in position control of a DC-servomotor under shaft frictional load, inertia disk load and mixed frictional/inertial load conditions. A stability verification procedure for the integrated fuzzy logic control system is also provided.

Original language	English
Pages (from-to)	217-240
Number of pages	24
Journal	Mechatronics
Volume	8
Issue number	3
DOIs	https://doi.org/10.1016/s0957-4158(97)00052-4
Publication status	Published - 1998 Apr

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.1016/s0957-4158(97)00052-4

Cite this

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title = "Design and implementation of integrated fuzzy logic controller for a servomotor system",

abstract = "In this paper, we present the design and implementation of an integrated fuzzy logic controller (IFLC) for a DC-servomotor system. The proposed strategy is intended to improve the performance of the original control system by use of a fuzzy logic controller (FLC) as the motor load changes. Both computer simulation and experimental implementation demonstrate that IFLC is particularly effective in position control of a DC-servomotor under shaft frictional load, inertia disk load and mixed frictional/inertial load conditions. A stability verification procedure for the integrated fuzzy logic control system is also provided.",

author = "Shieh, \{Ming Yuan\} and Li, \{Tzuu Hseng S.\}",

note = "Funding Information: The authors wish to express sincere gratitude to the anonymous referees for their constructive comments and helpful suggestions which led to substantial improvements in this paper. This work was supported by the National Science Council of Taiwan, the Republic of China, under grants NSC83-0404-E006-056 and NSC84-2213-E006-045.",

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T1 - Design and implementation of integrated fuzzy logic controller for a servomotor system

AU - Shieh, Ming Yuan

AU - Li, Tzuu Hseng S.

N1 - Funding Information: The authors wish to express sincere gratitude to the anonymous referees for their constructive comments and helpful suggestions which led to substantial improvements in this paper. This work was supported by the National Science Council of Taiwan, the Republic of China, under grants NSC83-0404-E006-056 and NSC84-2213-E006-045.

PY - 1998/4

Y1 - 1998/4

N2 - In this paper, we present the design and implementation of an integrated fuzzy logic controller (IFLC) for a DC-servomotor system. The proposed strategy is intended to improve the performance of the original control system by use of a fuzzy logic controller (FLC) as the motor load changes. Both computer simulation and experimental implementation demonstrate that IFLC is particularly effective in position control of a DC-servomotor under shaft frictional load, inertia disk load and mixed frictional/inertial load conditions. A stability verification procedure for the integrated fuzzy logic control system is also provided.

AB - In this paper, we present the design and implementation of an integrated fuzzy logic controller (IFLC) for a DC-servomotor system. The proposed strategy is intended to improve the performance of the original control system by use of a fuzzy logic controller (FLC) as the motor load changes. Both computer simulation and experimental implementation demonstrate that IFLC is particularly effective in position control of a DC-servomotor under shaft frictional load, inertia disk load and mixed frictional/inertial load conditions. A stability verification procedure for the integrated fuzzy logic control system is also provided.

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DO - 10.1016/s0957-4158(97)00052-4

M3 - Article

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Design and implementation of integrated fuzzy logic controller for a servomotor system

Abstract

All Science Journal Classification (ASJC) codes

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