Abstract
This paper describes a strategy for identification of Siemens-Schottel-Propulsor (SSP) driving motor which is chosen as three-phase squirrel cage induction motor (IM) in this work. The strategy is to perform on-line identification of parameters of the electrical part of IMs. The different forms of voltage and current signals are applied to the motor based on Siemens Sinamics technology, at the same time, detecting the motor voltage, current response signal, through all these signals and the relationship among them, the motor parameters can be calculated or the motor parameters can be identified using the fitting algorithm. Simulation and experimental results show advantages of the proposed strategy in the identified system, simplicity, and low cost.
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Ashraf S, Rateb I, Tarek T (2010) Hardware-in-the-loop for on-line identification and control of three-phase squirrel cage induction motors. Simul Model Pract Theor 18:277–290
Paolo C, Walter G, Marcello M, Andrea T (2005) A new adaptive approach for on-line parameter and state estimation of induction motors. Control Eng Pract 13:81–94
Chen ZF, Zhong YR, Li J (2010) Comparison of three intelligent optimization algrithms for parameter identification of induction motors. Electr Mach Control 14:7–12 chinese
Guo QY, Zhou GF, Shang J et al (2010) Parameters tuning and poles designation for sensorless induction motor drive. J Tongji Univ (National Science) 38:1664–1668 Chinese
Ju P, Li DF (1999) Identification of composite induction motor loads. Trans Chian Electromechnical Soc 14:1–6 Chinese
Xia CY (2000) Some parameter identification methods of an induction motor based on its complex quantity descriptions. Proc CSEE 20:1–6 Chinese
Xu XZ, Qin Y (2002) Adaptive control and parameter identification for vector-controlled induction motor. Electr Mach Control 6:111–114 Chinese
Se S (2008) Slip energy recovery of a rotor-side field oriented controlled wound rotor induction motor fed by matrix converter. J Frankl Inst 345:419–435
Zhang GC, Ma J (2011) Hybrid control based on sliding mode-dynamic recursive fuzzy neural network for marine electrical propulsion. Control Theor Appl 28:625–630 Chinese
Acknowledgments
This work was supported by China Postdoctoral Science Foundation (20110490716) and the National Natural Science Foundation of China (51179102).
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Zhang, G. (2012). Hardware-in-the-Loop for On-Line Identification of SSP Driving Motor. In: Hou, Z. (eds) Measuring Technology and Mechatronics Automation in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 135. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2185-6_31
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DOI: https://doi.org/10.1007/978-1-4614-2185-6_31
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