PMDC Motor Parameter Estimation Using Bio-Inspired Optimization Algorithms

Sankardoss, V.; Geethanjali, P.

doi:10.1109/access.2017.2679743

Cited by 36 publications

(24 citation statements)

References 34 publications

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“…The DC motor and mechanical load are modeled by Equations (1) and (2), which correspond to the electromechanical part of the system, described by a second order mathematical model, where the state variables are the speed of the DC motor ( ) in rad/s and the armature current ( ) in amps. Figure 2 shows that the complementary part of the electrical subsystem corresponds to the circuit of the buck converter.…”

Section: Model Of the Buck Converter With A DC Motormentioning

confidence: 99%

“…Direct current (DC) motors are very important electromechanical devices in mechatronic systems, which play a fundamental role in the execution of high precision tasks [1]. With the recent advances in permanent magnet materials, as well as their characteristics, such as being lighter, low cost, and low speed, industrial and residential users have increased their use [2,3]. However, non-linear phenomena, such as bifurcations and chaos, have been observed in many types of motor actuators; hence, the behavior of the controller with different resolutions in the measured signals must be identified [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Application of Zero Average Dynamics and Fixed Point Induction Control Techniques to Control the Speed of a DC Motor with a Buck Converter

2020

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Several technological applications require well-designed control systems to induce a desired speed in direct current (DC) motors. Some controllers present saturation in the duty cycle, which generates variable switching frequency and subharmonics. The zero average dynamics and fixed point induction control (ZAD-FPIC) techniques have been shown to reduce these problems; however, little research has been done for DC motors, considering fixed switching frequency, quantization effects, and delays. Therefore, this paper presents the speed control of a DC motor by using a buck converter controlled with the ZAD-FPIC techniques. A fourth-order, non-linear mathematical model is used to describe the system dynamics, which combines electrical and electromechanical physical models. The dynamic response and non-linear system dynamics are studied for different scenarios where the control parameters are changed. Results show that the speed of the motor is successfully controlled when using ZAD-FPIC, with a non-saturated duty cycle presenting fixed switching frequency. Simulation and experimental tests show that the controlled system presents a good performance for different quantization levels, which makes it robust to the resolution for the measurement and type of sensor.

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Section: Model Of the Buck Converter With A DC Motormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Zero Average Dynamics and Fixed Point Induction Control Techniques to Control the Speed of a DC Motor with a Buck Converter

2020

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“…Research work includes a variety of methods for using PMDC motors in control systems for speed control, and for this purpose, a computer controlled simulator is designed [10] for real time experiments. To design appropriate controller of a given motor, precise parameters estimation is required, both standard and dynamic particle swarm optimization (PSO), ant colony optimization (ACO), and artificial bee colony (ABC) are used in order to estimate PMDC motor parameters [5]. Direct measurements of armature current, voltage and rotor speed are used to identify the PMDC parameters [6].…”

Section: Related Workmentioning

confidence: 99%

“…Due to their efficiency, low cost and simplicity, DC motors are considered as valuable component in many areas of research, laboratory experiments and industrial applications [1]. Many industrial applications are expected from PMDCs due to their big thrust force, high speed and high precision [2][3][4][5]. Ease of controller design and implementation makes DC motors preferable over AC motors [6].…”

Section: Introductionmentioning

confidence: 99%

Microprocessor based prototype design of a PMDC motor with its system identification and PI controller design

Soliman

Reddy

2019

SN Appl. Sci.

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This paper describes the development process of a permanent magnetic direct current (PMDC) motor prototype in details. The designed prototype is used for speed control purposes. The developed model is intended to have two types of inputs: one is analog input which accepts variable direct voltage for system identification purpose, and the other is the pulse width modulation input, which can be used to interface with the outside world such as microcontrollers or programmable logic controllers. A microprocessor (with 8 bit resolution and a high performance RISC CPU) acts as a core of the module as it accepts the inputs and accordingly provides the output. An IR sensor acts as feedback sensor and provides pulses to the microprocessor which performs frequency to voltage (F/V) converting function and gives a variable output direct voltage as the speed of the motor varies. The actuator is a permanent magnetic direct current motor driven using metal oxide semiconductor field effect transistor based driving circuit. A four stages magnetic load mechanism is attached to the motor shaft. For test experiment, an ARDUINO MEGA MATLAB SIMULINK support packagebased module is developed to provide the inputs and measure the outputs, then open loop test, system identification and PI controller design are carried out and satisfying results are obtained. Illustrating the detailed procedure and the step by step work of the design process of the PMDC motor prototype is the main contribution of current work.

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“…Electric motors are designed to perform tasks with high accuracy when completing repetitive tasks [1]. The speed control helps maintain the frequency close to the reference value and allows the motor to offer continuous stability.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of a Permanent Magnet DC Motor Using a Buck Converter Controlled by ZAD-FPIC

2018

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This paper presents the dynamic analysis of a permanent magnet DC motor using a buck converter controlled by zero average dynamics (ZADs) and fixed-point inducting control (FPIC). Initially, the steady-state behavior of the closed-loop system was observed and then transient behavior analyzed while maintaining a fixed ZAD control parameter and changing the FPIC parameter. Other behaviors were studied when the value of the ZAD control parameter changed and the FPIC parameter was maintained at the initial value. Besides, bifurcation diagrams were built with one and two delay periods by changing the control parameter of the FPIC and maintaining fixed ZAD parameters while some disturbances were carried out in the electric source. The results show that the ZAD-FPIC controller allowed good regulation of the speed for different reference values. The ZAD-FPIC control technique is effective for controlling the buck converter with the motor, even with two delay periods. The robustness of the system was checked by changing the voltage of the source. It was shown that the system used a fixed switching frequency because the duty cycle was not saturated for certain ranges of the control parameters shown in the research. This technique can be used for higher order systems with experimental phenomena such as quantization effects, time delays, and variations in the input signal.

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PMDC Motor Parameter Estimation Using Bio-Inspired Optimization Algorithms

Cited by 36 publications

References 34 publications

Application of Zero Average Dynamics and Fixed Point Induction Control Techniques to Control the Speed of a DC Motor with a Buck Converter

Application of Zero Average Dynamics and Fixed Point Induction Control Techniques to Control the Speed of a DC Motor with a Buck Converter

Microprocessor based prototype design of a PMDC motor with its system identification and PI controller design

Dynamic Analysis of a Permanent Magnet DC Motor Using a Buck Converter Controlled by ZAD-FPIC

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