DocumentCode :
1831101
Title :
On-line parameter estimation of PMDC motors using binary-valued speed measurements
Author :
Obeidat, Mohammad A. ; Wang, Le Yi ; Lin, Feng
Author_Institution :
Dept. of Electr. & Comput. Eng, Wayne State Univ., Detroit, MI, USA
fYear :
2012
fDate :
24-25 Feb. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Establishing real-time models for permanent magnet direct current (PMDC) motors is of importance for capturing authentic dynamic behavior of the systems to improve control performance, robustness, and diagnosis. Sensor types play an essential role in such an endeavor, affecting system costs, reliability, estimation accuracy, and control strategies. In this paper we develop an estimator that can be used to estimate the model parameters of PMDC motors using binary-valued speed measurements. A typical linearized model structure of PMDC motors is used as a benchmark platform to demonstrate the technology. The input/output relationship between the input voltage and the output speed is modeled by a suitable regression structure for binary system identification. Periodic input dithers are employed to identify the speed of the motor and to estimate the unknown parameters of the system. Simulations are performed to illustrate the utility of the technology. The advantage of this work is to support on-line estimation using cheaper and low-complexity binary sensors with guaranteed estimation accuracy.
Keywords :
DC motors; parameter estimation; regression analysis; reliability; sensors; velocity measurement; PMDC motors; binary system identification; binary-valued speed measurements; low-complexity binary sensors; online parameter estimation; permanent magnet direct current motors; regression structure; reliability; Accuracy; DC motors; Induction motors; Mathematical model; Noise; Permanent magnet motors; Traction motors; PMDC motor; binary sensor; estimator; identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2012 IEEE
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4577-1681-2
Electronic_ISBN :
978-1-4577-1682-9
Type :
conf
DOI :
10.1109/PECI.2012.6184608
Filename :
6184608
Link To Document :
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