Results 171 to 180 of about 45,725 (208)

Granular fuzzy PID controller

Expert Systems with Applications, 2021
Abstract In this paper an uncertain dynamical system is investigated in which the coefficients are as a class of fuzzy sets and the fuzzy derivative is considered as the granular derivative. Furthermore, the notions of granular second order derivative of a fuzzy function, fuzzy overshoot, fuzzy rise-time, and fuzzy peak-time are introduced.
Marzieh Najariyan, Yi Zhao
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Fuzzy-PID controller

Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation, 2002
The paper introduces in detail the derivation of a control algorithm. In this algorithm, a fuzzy controller is applied to the PID control method and a self-optimal regulating factor is added to the control rule, thus the controller not only has quick dynamic response and allows overswing properties of the fuzzy controller, but also has the high ...
null Liang Xiaoyin, null Qu Beimin
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Fuzzy PID supervisor

1985 24th IEEE Conference on Decision and Control, 1985
A fuzzy supervisor for a conventional PID controller is described. In the design of the supervisor the knowledge of an expert in tuning the parameters of the PID controller is applied. Moreover, a performance index is formulated, which matches the requirements in real applications better than the integral criteria generally used. In a simulation set-up
H. Van Nauta Lemke, Wang De-zhao
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Fuzzy PID Controller with Fuzzy Supervision

IFAC Proceedings Volumes, 2000
Abstract The best-known industrial process controllers are proportional-integral-derivative (РID) controllers because of their simple structure and robust performance in a wide range of operating conditions. Fuzzy controllers can be viewed as a natural similarity of conventional РID controllers, which can perform the same tasks into the control ...
Michail Petrov, Ivan Ganchev, Antonin Stribrsky, Katerina Hyniova   +3 more
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Fuzzy PID controller structures

CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings, 2002
This paper provides a systematic procedure for designing fuzzy PID controllers. The fuzzy nonlinear mapping with respect to error, error change and rate of error change is analyzed to produce different fuzzy PID controller structures. The design procedure is identified as a two-level tuning problem.
G.K.I. Mann, B.-G. Hu, R.G. Gosine
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A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

International Journal of Fuzzy Systems, 2020
In this paper, we present a fuzzy PID control system as a combination of a fuzzy PID controller and a fuzzy control process, which is represented by a fuzzy control differential equation in linear form. We use the concepts of the generalized Hukuhara differentiability and the fuzzy integral of fuzzy-valued functions to study some qualitative properties
Nguyen Dinh Phu, Nguyen Nhut Hung, Ali Ahmadian, Norazak Senu   +3 more
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Fuzzy precompensated PID controllers

IEEE Transactions on Control Systems Technology, 1994
While proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, the authors propose a fuzzy logic-based precompensation approach for PID controllers.
Kim, Jong-Hwan, Kim, Kwang-Choon, Chong, Edwin K.P.   +2 more
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PID gain scheduling using fuzzy logic

ISA Transactions, 2000
A simple, yet robust and stable alternative to proportional, integral, derivative (PID) gain scheduling is developed using fuzzy logic. This fuzzy gain scheduling allows simple online duplication of PID control and the online improvement of PID control performance.
T P, Blanchett, G C, Kember, R, Dubay
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Variable-order fuzzy fractional PID controller

ISA Transactions, 2015
In this paper, a new tuning method of variable-order fractional fuzzy PID controller (VOFFLC) is proposed for a class of fractional-order and integer-order control plants. Fuzzy logic control (FLC) could easily deal with parameter variations of control system, but the fractional-order parameters are unable to change through this way and it has confined
Lu, Liu, Feng, Pan, Dingyu, Xue
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Fuzzy-PID-Reglerentwurf

1993
Das Programm FuzzyPID ermoglicht den interaktiven Entwurf eines Fuzzy-PI- bzw. Fuzzy-PD-Reglers fur einen einschleifigen Standardregelkreis mit linearer Regelstrecke. Der geschlossene Regelkreis kann simuliert werden, wobei alle interessierenden Zeitverlaufe grafisch dargestellt werden.
Jörg Kahlert, Hubert Frank
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