Adaptive control and one-line identification of sensorless permanent magnet DC motor

Moussa, Mona F.; Saad, Mostafa; Dessouky, Yasser G.

doi:10.1109/sibircon.2010.5555015

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…Then the estimate ω of the motor speed ω equals E/K b . This method is convenient to apply in microcontrollerbased control of a PMDC motor driven by switch-mode dc-dc converters; see [6], [7], [8], [9]. While this method does not suffer from the drawbacks of the above-discussed methods, there may be significant errors between ω and the desired speed ω d , as in [8], and as seen in the present paper.…”

Section: Introductionmentioning

confidence: 87%

Sensorless speed control of a permanent magnet DC motor by compensating the plant nonlinearities

Saurav

Potluri

2013

2013 IEEE International Symposium on Industrial Electronics

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Permanent magnet dc motors are popular for the simplicity of their control. Exist a few methods of sensorless speed control (SSC) of these motors. Each of these methods has its limitations that restrict its wider applicability. One of these methods uses the sensing of applied armature voltage and armature current to obtain an estimate of the motor speed, and then uses this estimate for the feedback control of the motor speed. In the microcontroller-based control of a PMDC motor, or a dc motor with separate fixed excitation, driven by a switchmode dc-dc converter, the converter may have a nonlinear inputoutput characteristic that reduces the tracking accuracy of this method. This paper presents a way to obtain a compensator of this characteristic automatically, and to thus improve the performance of the method.

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Section: Introductionmentioning

confidence: 87%

Sensorless speed control of a permanent magnet DC motor by compensating the plant nonlinearities

Saurav

Potluri

2013

2013 IEEE International Symposium on Industrial Electronics

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“…A similar approach was utilized by the authors in [5,11], where the authors presented a deeper description and a wider scope of examples. A sensorless method for speed estimation of a PMDC motor is shown in [12]. The authors utilized the RLS method and the first-order mathematical model of the PMDC to reduce the number of samples required for online implementation.…”

Section: Introductionmentioning

confidence: 99%

GWO-Based Multi-Stage Algorithm for PMDC Motor Parameter Estimation

Pawlowski

Ciężkowski

Romaniuk

et al. 2023

Sensors

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During the design of a wheeled mobile robot, the problem of the proper selection of the parameters of its motor controllers was encountered. Knowing the parameters of the robot’s Permanent Magnet Direct Current (PMDC) motors, precise tuning of the controllers can be performed, which then results in improved robot dynamics. Among many methods of parametric model identification, optimization-based techniques, particularly genetic algorithms, have gained more and more interest recently. The articles on this topic present the results of parameter identification, but they do not refer to the search ranges for individual parameters. With too wide a range, genetic algorithms do not find solutions or are time-inefficient. This article introduces a method for determining the parameters of a PMDC motor. The proposed method performs an initial estimation of the range of searched parameters to shorten the estimation time of the bioinspired optimization algorithm.

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“…Numerous surveys on control, stability of PMDC motor are indicated. To obtain steady state, regulated flow, as per the fluid and drug to be infused to the patient through an infusion system [5] accurate modelling, selection of optimized controller and control dynamics [6] is mandatory for a system. Hence the study of PMDC is indeed an important concept.…”

Section: Introductionmentioning

confidence: 99%

Examination of Control Parameters for Medical Grade Insulin Pump

Alamelu¹,

Mythili²

2019

IJEAT

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In this work, an attempt has been made to identify the appropriate parameters of Permanent Magnet Direct Current (PMDC) motor for infusion pump. PMDC motor plays important role in medical devices. In this, selection of parameters such as rotor inertia, armature resistance, armature inductance and back electro motive force constant is crucial that help to achieve the required speed. The proposed work uses PID controller (Proportional Integral Derivative) and LQG (Linear-Quadratic Gaussian) control algorithm to evaluate the parameters for transient response of the PMDC motor. It is demonstrated that the chosen parameters are able to reach the required speed with quick rise time by 0.691 seconds by employing LQG.

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Adaptive control and one-line identification of sensorless permanent magnet DC motor

Cited by 12 publications

References 15 publications

Sensorless speed control of a permanent magnet DC motor by compensating the plant nonlinearities

Sensorless speed control of a permanent magnet DC motor by compensating the plant nonlinearities

GWO-Based Multi-Stage Algorithm for PMDC Motor Parameter Estimation

Examination of Control Parameters for Medical Grade Insulin Pump

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