Parameter extraction of an induction motor with gearbox for dynamic simulation

Rojas-Moreno, Arturo

doi:10.1109/andescon.2016.7836207

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…This Servo module has been patented by UTEC [5]. The works published in [6][7] employ the induction motor of this module.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Undergraduate Education in Control Engineering

Moreno¹

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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This paper discusses the content of two basic courses in control engineering: Feedback Control Systems and Process Control with their associated Lab (laboratory) sessions. Such undergraduate level courses are lectured at the Electronic and Mechatronic Engineering Department (EMED) of UTEC (Universidad de Ingenieria y Tecnologia, Peru). The Lab sessions are performed in the Control Systems as well as in the Process Automation Labs. The structured experiments with their rubrics are carried out by the students after covering the corresponding theory classes. This methodology permits students to bridge the gap between theory and practice by means of hands-on and open (reconfigurable and reprogrammable) plants. An open plant allows the renewal of experiments. On the other hand, UTEC employs a methodology to engage undergraduate students to perform research. Several papers published in indexed international conferences ware based on various experiments performed by the students in the Lab sessions.

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“…This Servo module has been patented by UTEC [5]. The works published in [6][7] employ the induction motor of this module.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Undergraduate Education in Control Engineering

Moreno¹

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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“…Therefore, it is meaningful to extract the characteristic PAM model's parameters in order to help capture features of PAM systems and make their models elaborate and accurate. Similarly, some studies have focused on extracting parameters for modeling an induction motor with a gearbox [21], for determining minimum uncertain parameters in modeling an intrinsic field effect transistor [22] and monitoring the condition of electronic circuits [23]. In this manner, feature-extraction results in improved efficiency in calculating and modeling.…”

Section: Introductionmentioning

confidence: 99%

Characteristic Extraction for Model Parameters of McKibben Pneumatic Artificial Muscles

Ishikawa

Nishiyama

Kogiso

2018

SICE Journal of Control, Measurement, and System Integration

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: This study demonstrates that various unknown parameters used in nonlinear models of McKibben pneumatic artificial muscles (PAMs) can characterize the features of McKibben PAM products. By focusing on a parameter space in the PAM model, this study employs a support vector machine to determine which unknown parameters characterize each PAM product. For validation, we analyze five different PAM products to observe whether the resulting minimal combination of parameters will help to identify the product. The observations of our analysis provide prior PAM knowledge that can be used to develop efficient parameter estimation and capture aging degradation, which are important for robust estimation and control in PAM systems.

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A Novel Practical Approach to Identify Equivalent Circuit Parameters of Six-Phase Asymmetrical Induction Motor

Desai

Nanoty

2022

J. Inst. Eng. India Ser. B

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Parameter extraction of an induction motor with gearbox for dynamic simulation

Cited by 8 publications

References 3 publications

Enhancing Undergraduate Education in Control Engineering

Enhancing Undergraduate Education in Control Engineering

Characteristic Extraction for Model Parameters of McKibben Pneumatic Artificial Muscles

A Novel Practical Approach to Identify Equivalent Circuit Parameters of Six-Phase Asymmetrical Induction Motor

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