The conventional method of fuzzy control realizes only nonlinear PI (proportional and integral) control actions and does not have the D (derivative) control action required to effectively improve control performance. Hence, the improvement of control performance is limited. Therefore, in this paper, a method for simple improvement of the PI fuzzy control used conventionally is proposed. The method proposed here improves the control performance simply by combining, in parallel, the conventional PI fuzzy controller with the D control action which is realized by using the fuzzy inference method. Then, based on the simulation results for the first- and second-order lag systems with dead time, the effectiveness of the proposed fuzzy control is shown compared with the conventional PI fuzzy control.
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Kenichiro HAYASHI, Akifumi OTSUBO, Kazuhiko SHIRANITA, "Improvement of Conventional Method of PI Fuzzy Control" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 6, pp. 1588-1592, June 2001, doi: .
Abstract: The conventional method of fuzzy control realizes only nonlinear PI (proportional and integral) control actions and does not have the D (derivative) control action required to effectively improve control performance. Hence, the improvement of control performance is limited. Therefore, in this paper, a method for simple improvement of the PI fuzzy control used conventionally is proposed. The method proposed here improves the control performance simply by combining, in parallel, the conventional PI fuzzy controller with the D control action which is realized by using the fuzzy inference method. Then, based on the simulation results for the first- and second-order lag systems with dead time, the effectiveness of the proposed fuzzy control is shown compared with the conventional PI fuzzy control.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_6_1588/_p
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@ARTICLE{e84-a_6_1588,
author={Kenichiro HAYASHI, Akifumi OTSUBO, Kazuhiko SHIRANITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improvement of Conventional Method of PI Fuzzy Control},
year={2001},
volume={E84-A},
number={6},
pages={1588-1592},
abstract={The conventional method of fuzzy control realizes only nonlinear PI (proportional and integral) control actions and does not have the D (derivative) control action required to effectively improve control performance. Hence, the improvement of control performance is limited. Therefore, in this paper, a method for simple improvement of the PI fuzzy control used conventionally is proposed. The method proposed here improves the control performance simply by combining, in parallel, the conventional PI fuzzy controller with the D control action which is realized by using the fuzzy inference method. Then, based on the simulation results for the first- and second-order lag systems with dead time, the effectiveness of the proposed fuzzy control is shown compared with the conventional PI fuzzy control.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Improvement of Conventional Method of PI Fuzzy Control
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1588
EP - 1592
AU - Kenichiro HAYASHI
AU - Akifumi OTSUBO
AU - Kazuhiko SHIRANITA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2001
AB - The conventional method of fuzzy control realizes only nonlinear PI (proportional and integral) control actions and does not have the D (derivative) control action required to effectively improve control performance. Hence, the improvement of control performance is limited. Therefore, in this paper, a method for simple improvement of the PI fuzzy control used conventionally is proposed. The method proposed here improves the control performance simply by combining, in parallel, the conventional PI fuzzy controller with the D control action which is realized by using the fuzzy inference method. Then, based on the simulation results for the first- and second-order lag systems with dead time, the effectiveness of the proposed fuzzy control is shown compared with the conventional PI fuzzy control.
ER -