Parameter identification of a mathematical model of induction motors via least square technics
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作者:
Alonge, F
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机构:
Univ Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, ItalyUniv Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, Italy
Alonge, F
[1
]
D'Ippolito, F
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机构:
Univ Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, ItalyUniv Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, Italy
D'Ippolito, F
[1
]
La Barbera, S
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机构:
Univ Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, ItalyUniv Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, Italy
La Barbera, S
[1
]
Raimondi, FM
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机构:
Univ Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, ItalyUniv Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, Italy
Raimondi, FM
[1
]
机构:
[1] Univ Palermo, Fac Engn, Ist Automat & Sistemist, I-90128 Palermo, Italy
来源:
PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2
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1996年
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中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper deals with off-line identification of electrical and mechanical parameters of induction motors, using Least Square techniques. Two stator currents, three stator voltages and speed are acquired during an experimental test consisting of a start transient up to steady state and a stop transient from steady state to standstill. For identification, the acquired signals and their derivatives are filtered by means of digital anticausal filters. The input-output behaviour obtained by means of simulation using the mathematical model with estimated parameters, is compared with that detected experimentally with the aim of showing the validity of the approach followed.