Modeling of DC Motors for Control Applications

Sinha, Ν.Κ.; diCenzo, Colin D.; Szabados, B.

doi:10.1109/tieci.1974.351192

Cited by 29 publications

(9 citation statements)

References 3 publications

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“…In this application, the fuel pump is actuated with a small direct-current electrical motor and its transient response can be represented by a first-order transfer function. 18 The mechanical time constant of small electrical motors is around 20 ms. 19 In contrast, the settling time of an STE is around seconds. [20][21][22] Therefore, the pump will have a much faster time constant compared to the engine.…”

Section: Gear-type Fuel Pump Modelmentioning

confidence: 99%

Fast engine model for FMU-less small turbojet engines

Ekinci

Yavrucuk

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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The focus of this paper is on small low-cost turbojet engines equipped with a gear-type fuel pump rather than a more traditional fuel metering unit. The incorporation of such type of fuel flow actuation devices introduce additional nonlinearities into the system and therefore make traditional modeling and system identification methods difficult to apply. In this paper, we propose a nonlinear fast engine model structure that can be used for various applications, including identification, modeling and simulation, and controller design of such sub-class turbojet engines. A high-fidelity turbojet engine model including its nonlinear gear-type fuel pump is developed, which is later used to generate the fast engine model. The parameters of the fast engine model are estimated using regression analysis. The identification procedure is also applied to real engine test data to verify the proposed approach.

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Section: Gear-type Fuel Pump Modelmentioning

confidence: 99%

Fast engine model for FMU-less small turbojet engines

Ekinci

Yavrucuk

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…Burada elektriksel zaman sabitinin mekaniksel zaman sabitinden çok küçük olduğu kabulü yapılarak = ⁄ + ve = ⁄ + olarak alınmıştır [21]. Burada ( ) kontrol işareti, ( ) ise sistem çıkışıdır.…”

Section: = − (2)unclassified

Image processing based object tracking application with fractional-order model reference controller

Kavuran¹,

Ateş²,

Alagöz³

et al. 2016

Pamukkale J Eng Sci

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Bu çalışmada doğru akım servo motorun pozisyon denetimi, kesir dereceli integratörle birlikte geleneksel model referans uyarlamalı denetleyici yapısı kullanılarak incelenmiştir. Denetleyici yapısındaki iyileşme, uyarlama kuralında kesir dereceli operatörlerin kullanılmasıyla sağlanmıştır. Gerçek zamanlı çalışan sistemin referans pozisyon bilgisi, kameradan alınan değerlere göre güncellenmiştir. Sistem çıkışı, öğrenme katsayısı değiştirilerek tamsayı ve kesir dereceli uyarlama kuralına göre karşılaştırmalı olarak kıyaslanmıştır. Elde edilen sonuçlara göre kesir dereceli yaklaşımın daha iyi sonuç verdiği gözlenmiştir.In this paper, position control application of DC servo motor is investigated by using conventional model reference adaptive control structure with fractional order integrator. Modification of the controller is achieved by fractional order integrator in adaptation rule. Object position for reference input of control system is updated in real time by the values obtained from camera of object tracking system. Results obtained for integer order integrator and fractionalorder integrator for model reference adaptive control system are compared and it is observed that the fractional-order integrator can provide faster adaptation for the system. Anahtar kelimeler: Kesir dereceli matematik, Model referans uyarlamalı denetim, Nesne takibi, Servo motor.

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“…We studied the modeling of dc motors for control applications [1], and we found that there are three different mathematical models of an armature controlled dc motors. These models are:…”

Section: Literature Reviewmentioning

confidence: 99%

Parameters Identification of a Permanent Magnet DC Motor

Salah¹,

Abdelati²

2010

Modelling, Identification, and Control

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In this thesis, driver circuits to drive DC motor are designed and built. We take in our design the safety for any damage, the isolation from any interference and the capability to provide the sufficient current needed to drive the motor. Also, methods and algorithms used for parameters identification are addressed. Data acquisition module form National Instruments is a suitable module used for acquiring signals since it's compatible with MATLAB and LABVIEW. To identify the parameters of the motor, an experimental measurement of armature voltage, armature current and rotor speed are performed using the NIDAQ USB-6008 data acquisition module. Trials are performed to apply some of the methods on the motor practically to identify the motor parameters. DAQ toolbox in MATLAB/Simulink is used to acquire the test signals and perform analysis based on the nonlinear least square method or pattern search method which they are suitable. Finally, we designed a GUI to be user friendly and to automate all the process of identification, in addition to the feature for undergraduate and graduate students to apply experiments on control and machine labs. The extracted motor parameters from simulation produced consistent simulation results with experimental data. The proposed approaches are compared and both are proved to be simple, fast and accurate.ii : ‫ﺔ‬ ‫ﺑﺎﻟﻌﺮﺑ‬ ‫اﻟﺒﺤﺚ‬ ‫ﻋﻨﻮان‬

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Modeling of DC Motors for Control Applications

Cited by 29 publications

References 3 publications

Fast engine model for FMU-less small turbojet engines

Fast engine model for FMU-less small turbojet engines

Image processing based object tracking application with fractional-order model reference controller

Parameters Identification of a Permanent Magnet DC Motor

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