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Proceedings ArticleDOI

Design and simulation of speed controller using ac-dc buck boost converter for dc motor drive with soft starter

10 Apr 2013-pp 1230-1237
TL;DR: A MATLAB simulink model of a separately excited dc motor that runs on a single phase a.c source with better control so that the motor becomes independent of the input voltage level as it can be adjusted.
Abstract: In this paper a model is developed to run a separately excited direct current (d.c) motor using a single phase alternating current (a.c) source by converting the a.c source into variable d.c source using a buck-boost converter. Main problem d.c motor drive is the starting current due this insulation may damage and also efficiency will decrease so that here in this paper it is solved by using soft starter. The variable Pulse Width Modulation (PWM) is used to regulate the voltage at the end of ac dc buck boost converter. Here the speed of the d.c motor is also controlled using a speed controller which is connected to the soft starter. Thus a MATLAB simulink model is developed where speed of the d.c motor is controlled using a soft starter. PWM based rectifiers are efficiently employed in low to medium power applications. Since the ac-dc buck boost converter can produce voltages higher or lower than the supply voltages, they are most useful in variable dc drives. In a traditional dc motor system a resistor starter is used to monitor the armature current of the motor. This is because initially armature current is high which damages the motor. Instead of a three point starter, a MOSFET based soft starter is used to limit the starting current. And also a PI controller is used to control the speed of the dc motor. This controller calculates the reference current based on the reference speed of the motor and feeds it into the soft starter. As a result in this Simulink model of a separately excited dc motor runs on a single phase a.c source with better control. The main advantage is that the motor becomes independent of the input voltage level as it can be adjusted. The speed of the d.c motor can also be controlled. The circuit becomes small with less switching and copper losses and the armature current can also be controlled because of the soft starter.
Citations
More filters
01 Jan 2015
TL;DR: In this article, the authors present a concise review of the control techniques of DC motors with the various control methods and optimisation techniques used in the literature, and then present the closed loop control of a DC motor using Artificial Neural Networks (ANN).
Abstract: This paper present a concise review of the control techniques of DC motors with the various control methods and optimisation techniques used in the literature. The paper presents a block diagram relating these control techniques. The paper then presents the closed loop control of a DC motor using Artificial Neural Networks (ANN). The closed loop control takes into account all three loops pertaining to current, speed and position control of the DC motor used for robotic applications. The proposed controller uses feedback data from an ANN estimator of the DC motor model, hence eliminating the need for mechanical feedback sensors, which is very advantageous in robotic applications. Simulation results are presented in the course of the paper for each of the control cases. The paper presents a performance comparison between the classically tuned PID controllers and the proposed ANN controller with and without the ANN DC motor estimator.

4 citations


Cites background or methods from "Design and simulation of speed cont..."

  • ...The question would of course remain on the viability of the complex DSP controllers mandated by the control algorithms and the increased computational complexities as compared to tuned conventional PID systems [2, 28, 40, 59]....

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  • ...The hardware complexity of DSPs introduced herein is of course accompanied by a corresponding steep price increase [2, 4, 12, 28, 59, 62]....

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  • ...The improvements introduced by the plethora of modern controllers, such as self-tuning, adaptive and sliding mode, are numerous [8, 12, 28, 39, 40, 59, 60]....

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  • ...Several conventional controllers use the PID controller with its various tuning techniques [25-33] as well as the pole placement techniques [34, 35]....

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28 Sep 2017
TL;DR: Incelenmistir as mentioned in this paper, Amacla buck-boost konverterin dinamik esitlikleri ele alinarak Matlab/simulink modeli gerceklestirilmistir.
Abstract: Bu makalede, da-da Buck-Boost donusturucu tasarimi, modellenmesi ve kontrolu incelenmistir. Bu amacla Buck-Boost konverterin dinamik esitlikleri ele alinarak Matlab/simulink modeli gerceklestirilmistir. Farkli referans cikis gerilim degerlerine bagli olarak donusturucunun cevaplari detayli olarak incelenmistir. Bu farkli durumlara bagli simulasyon sonuclari sunulmustur.

2 citations


Additional excerpts

  • ...Aynı zamanda görev periyodu ayarlanarak istenen çıkış gerilimi elde edilebilir [6]....

    [...]

Proceedings ArticleDOI
06 Apr 2018
TL;DR: A Proportional-Integral-Derivative Controller designed on a FPGA can accurately achieve the required output voltage across the motor to drive the motor at required speed and the need for an external starter circuit to start the motor without causing any damage to the control circuit is eliminated.
Abstract: In this paper, we aim to design a system which can automate the speed control process and allow more accurate control of speed of the DC motor. It is used for speed control of motors of different voltage ratings. We aim to do this by implementing a Proportional-Integral-Derivative (PID) Controller designed on a FPGA. By fixing the duty cycle, motors of different ratings can be controlled using the same circuit. This system will be capable of adapting to the changes in desired speed in real time. It is designed in such a way that it adapts to dynamic changes in the load on the motor shaft. Using, this method we can accurately achieve the required output voltage across the motor to drive the motor at required speed and the need for an external starter circuit to start the motor without causing any damage to the control circuit is eliminated.

1 citations

Proceedings ArticleDOI
01 Mar 2018
TL;DR: Efficient comparison of speed control of DC motors using buck, boost and cuk converters is presented to help for proper selection of converters for desired applications.
Abstract: Nowadays motor is one of the main equipment in our lives. The speed control of dc motors can done efficiently in both acceleration and deceleration. DC drives are mainly used in the industrial applications because of its less cost compared to AC motors, reliability, ease of application etc. This paper presents a comparison study of speed control of DC motors using buck, boost and cuk converters. The design is done for each converter separately and by changing the duty ratios the speed control can be done. The simulation results and the experimental results are provided for each converter. Efficiency comparison are done and this will be helpful for proper selection of converters for desired applications
References
More filters
Journal ArticleDOI
TL;DR: The regulating feedback law, derived on the basis of a ‘boost’ model composed of ideal switches and ideal circuit components, is assessed, via computer simulations, on a realistic stochastically perturbed switched converter model, including parasitic resistances and parasitic voltage sources.

357 citations

Journal ArticleDOI
TL;DR: In this article, the output filter inductance and the input filter capacitance for a single-phase uncontrolled bridge rectifier employed for low power de-to-dc converters or inverters is established.
Abstract: The ``optimum'' output filter inductance Lf and the input filter capacitor Ci for a single-phase uncontrolled bridge rectifier employed for low power de-to-dc converters or inverters is established. The filter Ci is optimized to obtain maximum input power factor, minimum filter inductance, and minimum output dc voltage regulation. A design example is provided and theoretical results have been verified on an experimental model.

100 citations

Journal ArticleDOI
Nabil A. Ahmed1
TL;DR: In this paper, a single-phase buck-boost converter fed dc motor with uniform PWM control is presented and the waveforms of voltage and current, the input and output characteristics of the converter are discussed and verified.

27 citations

Proceedings ArticleDOI
24 Oct 2005
TL;DR: In this article, a new CMOS-compatible digital soft-start circuit for DC-DC switching regulator is presented, for which the technical is adopted to eliminate the inrush current and avoid the overshoot of the output voltage.
Abstract: A new CMOS-compatible digital soft-start circuit for DC-DC switching regulator is presented in this paper, for which the technical is adopted to eliminate the inrush current and avoid the overshoot of the output voltage. It's fully integrated on chip, so that the external soft-start capacitor is not in need, which leads to the reduction of the required board space and component cost. Hspice simulation shows that, while the system has an output voltage of 1.5V at a load of 6A, the envelop of inductor current increases placidly at approximately 1.43A/ms and output voltage increases about 16mV every cycle

25 citations

Proceedings ArticleDOI
01 Dec 2011
TL;DR: Comparison of the performance of neural network controller with that of conventional open loop and closed loop controllers for buck-boost converter fed dc motor based on voltage control method is presented.
Abstract: This paper presents comparison of the performance of neural network controller with that of conventional open loop and closed loop controllers for buck-boost converter fed dc motor based on voltage control method It describes the use of neural networks in a control loop applied to ac-dc buck-boost converter fed dc motor The proposed technique makes use of the learning capability of neural networks to implement an auto-adaptive control structure Such capability allows the network to learn the dynamic behavior of the buck-boost converter fed DC Motor The performance of the proposed method is investigated using the MATLAB simulation models of buck-boost converter fed dc motor Neural network controller based on pulse area modulation is built Closed loop controller provides better dynamic control when compared to other controllers Comparisons between the proposed Neural Network controller and conventional controller responses are provided through dynamic simulation

8 citations