2001
DOI: 10.1109/41.937407
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An optimal fuzzy PID controller

Abstract: This paper introduces an optimal fuzzy proportional-integral-derivative (PID) controller. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains. Fuzzy logic is employed only for the design; the resulting controller does not need to execute any fuzzy rule base, and is actually a conventional PID controller with analytic formulas… Show more

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Cited by 374 publications
(145 citation statements)
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“…Один из подходов адаптивного управления подобными системами является ПИД-регулятор с настройкой параметров в реальном масштабе времени. Настройка регулятора может производиться нейронной сетью [2,3] , нечеткой логикой [4], нейро-нечеткой сетью [5].…”
Section: Introductionunclassified
“…Один из подходов адаптивного управления подобными системами является ПИД-регулятор с настройкой параметров в реальном масштабе времени. Настройка регулятора может производиться нейронной сетью [2,3] , нечеткой логикой [4], нейро-нечеткой сетью [5].…”
Section: Introductionunclassified
“…Here, we use a simple control unit [3,[8][9][10][11][12] to generate control signals, which can be used to control different devices illustrated in our examples. The control unit contains an Instruction Register (IR) to store the instruction code which is read from memory, (4×16) decoder to decode a 4-bit operation code, having only one output (control signal) active at any given time (either D 0 or D 1 or …or D 15 ) and some control logic gates.…”
Section: Methodsmentioning
confidence: 99%
“…K p = proportional gain, K i = integral constant and K d = derivative constant PID controllers are most common controllers in most of the industry [12][13][14][15]. Schematic diagram for PID control is shown in Fig.…”
Section: T Kp E T Ki E T Dt Kd Dtmentioning
confidence: 99%