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An active disturbances rejection controller based on fuzzy compensator
Author(s) -
Ling Cai,
Ying Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1507/10/102040
Subject(s) - control theory (sociology) , differentiator , servomechanism , controller (irrigation) , servo control , control engineering , fuzzy control system , computer science , servo , state observer , signal (programming language) , fuzzy logic , observer (physics) , control system , engineering , control (management) , artificial intelligence , nonlinear system , bandwidth (computing) , biology , programming language , computer network , agronomy , physics , electrical engineering , quantum mechanics
Digital servo system has a wide application in military equipment. Position controller is one of the important parts in a servo system. Therefore control performance affect system’s capacity directly. The paper introduces an Active Disturbances Rejection Controller (ADRC) based on fuzzy compensator, which uses the fuzzy and active disturbances rejection control technique. Using Tracking Differentiator (TD) to track command signal and feedback signal, transferring them to smooth signal and separating the differentiator signal from them, which are used to build the element of front feed and error control. Fuzzy control technique is used to compensate Extended State Observer (ESO), which decreases variations range of control object. Then increase the estimate precision of extended state observer. An active disturbances rejection controller with perfect control quality is applied in a digital alternating servo system position controller. The results of measurements taken from a laboratory are shown that the proposed controller has an excellent follow precision, good instant response and high output quality. The proposed method solves several difficult problems of servo system position control, such as input signal smoothing, motional disturbance, and hard matching among parameters due to strict requirements on system precision, stability and quick response in position control.

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