Results 181 to 190 of about 46,050 (232)

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
openaire   +1 more source

Fuzzy-PID controllers vs. fuzzy-PI controllers

Proceedings of IEEE 5th International Fuzzy Systems, 2002
The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
openaire   +1 more source

A fuzzy PID controller being like parameter varying PID

FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999
A fuzzy-PID controller using the minimum inference engine and center average defuzzification is analyzed and shown that it behaves approximately like a parameter varying PID controller. We then try to analyze the effect of this kind of controller when using different rule bases. Simulation results are used to demonstrate the feasibility of this method.
null Tsung-Tai Huang, null Hung-Yuan Chung, null Jin-Jye Lin   +2 more
openaire   +1 more source

Hybrid fuzzy logic PID controller

Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993, 2002
This paper investigates two fuzzy logic PID controllers that use simplified design schemes. Fuzzy logic PD and PI controllers are effective for many control problems but lack the advantages of the fuzzy PID controller. Design methodologies are in their infancy and still somewhat intuitive.
T. Brehm, K.S. Rattan
openaire   +1 more source

Stability of fuzzy PID controllers

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
In this paper, the stability of fuzzy PID controllers is studied. Using the passivity theorem, the stability region of the effective PID parameters can be derived and hence some sufficient conditions for a stable fuzzy controller can be obtained. With these conditions satisfied, a stable set of fuzzy rules can be designed easily.
K.C. Sio, C.K. Lee
openaire   +1 more source

Incremental fuzzy expert PID control

IEEE Transactions on Industrial Electronics, 1990
An approach to intelligent PID (proportional integral derivative) control of industrial systems which is based on the application of fuzzy logic is presented. This approach assumes that one has available nominal controller parameter settings through some classical tuning technique (Ziegler-Nichols, Kalman, etc.).
S. Tzafestas, N.P. Papanikolopoulos
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Statistical fuzzy PID controller design

Proceedings of 6th International Fuzzy Systems Conference, 2002
Neural-fuzzy control techniques have been employed in semiconductor equipment and manufacturing control applications. Many successful case studies have been reported to deal with nonlinear, time-varying systems. However, the problem of excessive control actions due to random disturbances or controller over-reactions to random noise has caused ...
H.H. Li, B. Vaidhyanathan, null Shan Sun
openaire   +1 more source