NDLI: Position prediction and delay compensation on leveling systems

Content Provider	IEEE Xplore Digital Library
Author	Chun-Peng Tian Gong-You Tang Hao Su Xue Yang Hao Yu
Copyright Year	2014
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China (Chun-Peng Tian; Gong-You Tang; Hao Su; Xue Yang; Hao Yu)
Abstract	This paper considers the accuracy problem of position prediction in high precision leveling systems by using the large inertia motor. Based on the recursive least squares method(RLSM), a stopping curve estimate approach is proposed. By using the curve estimate approach, we put the resistance torque of the load, the friction torque, the wind resistance torque, and the rotational inertia of the motor into the stopping curve to avoid the measuring of all kinds of resisting torque and the rotational inertia and reduce the complexity of the control system. The time delay of system scheduling is also considered. The speed of the motor is pre-estimated by using Taylor series expansion to compensate the time delay to ensure the accuracy of the control. The actual application and MATLAB simulation show the stopping curve estimate approach can reduce the leveling time and ensure high leveling accuracy.
Starting Page	7767
Ending Page	7771
File Size	138349
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Resistance motor Torque Accuracy Large inertia Delay effects delay compensation Fitting DC motors recursive least squares method Mathematical model stopping curve estimate approach
Content Type	Text
Resource Type	Article

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