2009
DOI: 10.4028/www.scientific.net/amm.16-19.145
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Application of Compound PID Control in the DC Servo Motor

Abstract: Although the traditional PID controller is widely used in many fields, the system parameters varying and external disturbances existing in the DC servo system will cause large overshoot or poor stability. To improve the performance of the PID controller, a compound servo control system combining the conventional PID control and the fuzzy control is presented to meet the demand of a vehicular antenna servo system in this paper. Incorporating the fuzzy control and the conventional PID control, this paper present… Show more

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Cited by 6 publications
(2 citation statements)
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“…The fuzzy PID controllers are the natural extension of their conventional version, which preserve their linear structure of PID controller. The fuzzy PID controllers are designed using fuzzy logic control principle in order to obtain a new controller that possesses analytical formulas very similar to digital PID controllers [23]. Fuzzy PID controllers have variable control gains in their linear structure.…”
Section: Design Of Fuzzy Logic Controllermentioning
confidence: 99%
“…The fuzzy PID controllers are the natural extension of their conventional version, which preserve their linear structure of PID controller. The fuzzy PID controllers are designed using fuzzy logic control principle in order to obtain a new controller that possesses analytical formulas very similar to digital PID controllers [23]. Fuzzy PID controllers have variable control gains in their linear structure.…”
Section: Design Of Fuzzy Logic Controllermentioning
confidence: 99%
“…Their research proved that the PID controller with proper parameters was efficient, but the setting of the PID parameters is the main problem. To achieve the desired strip thickness of the HAGC system, Khosraviet al and Song et al proposed a novel fuzzy adaptive PID controller [10] and [11]. The simulation results showed that it was better than traditional PID controller, but sensitive to parameter variations.…”
Section: Introductionmentioning
confidence: 99%