Control Strategy of Buck Converter Driven Dc Motor: a Comparative Assessment (original) (raw)
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Speed Control of Buck-Converter Driven DC Motor based on Smooth Trajectory Tracking
International journal of engineering research and technology, 2019
Speed control is a common requirement in the industrial drives in the presence of varying operating conditions ie. load disturbance, parameter uncertainties. Conventional controllers with fixed parameters are not successful in the real time applications because of the drift in the plants operating conditions This paper presents the detailed account on the control design of a buck converter driven dc motor Proportional-Integral (PI) and Proportional-Integral-type Fuzzy Logic controller (PI-type FLC) are the Techniques proposed in this investigation to control the speed of a dc motor. The dynamic system composed from converter/motor is considered in this investigation and derived in the state-space and transfer function forms. Complete analyses of simulation results for PI and PI-type FLC technique are presented in frequency domain and time domain, respectively. Performances of the controller are examined in terms of duty cycle input energy, armature current and angular velocity. Finally, a comparative assessment of the impact of each controller on the system. I.
IJERT-Speed Control of Buck-Converter Driven DC Motor based on Smooth Trajectory Tracking
International Journal of Engineering Research and Technology (IJERT), 2019
https://www.ijert.org/speed-control-of-buck-converter-driven-dc-motor-based-on-smooth-trajectory-tracking https://www.ijert.org/research/speed-control-of-buck-converter-driven-dc-motor-based-on-smooth-trajectory-tracking-IJERTCONV7IS12033.pdf Speed control is a common requirement in the industrial drives in the presence of varying operating conditions ie. load disturbance, parameter uncertainties. Conventional controllers with fixed parameters are not successful in the real time applications because of the drift in the plants operating conditions This paper presents the detailed account on the control design of a buck converter driven dc motor Proportional-Integral (PI) and Proportional-Integral-type Fuzzy Logic controller (PI-type FLC) are the Techniques proposed in this investigation to control the speed of a dc motor. The dynamic system composed from converter/motor is considered in this investigation and derived in the state-space and transfer function forms. Complete analyses of simulation results for PI and PI-type FLC technique are presented in frequency domain and time domain, respectively. Performances of the controller are examined in terms of duty cycle input energy, armature current and angular velocity. Finally, a comparative assessment of the impact of each controller on the system.
Improved Control Strategy on Buck-Boost Converter Fed DC Motor with Fuzzy Logic Controller
2014
This paper presents comparison of the performance of Fuzzy Logic Controller with that of conventional closed loop controller for buck-boost converter fed dc motor based on voltage control method. For ac to dc conversion, diode bridge rectifier-chopper configuration gives higher input power factor than that of thyristor controlled rectifiers. So, one such configuration called ac-dc buck-boost converter feeding a dc drive is taken up for a detailed study in this paper. The performance of the proposed method is investigated using MATLAB simulation models of buck-boost converter fed dc motor.
Proceedings of the Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh, Indonesia, 2019
In order to reduce energy wasted on multi-level direct current (DC) voltage supplier, DC to DC is employed. However, as conversion may exert wasted dropped power, buck-boost conversion with artificial intelligent technique is applied. This paper discusses DC-DC buck-boost conversion for direct current motor load by using fuzzy logic and proportional integral differential (PID) controls to set optimal duty cycle to reduce wasted energy. By using simulations, it is proven fuzzy logic controlled converter outperforms PID controlled converter. Fuzzy logic controlled DC-DC buck-boost converter produces0.53 ms lower rise time, up to 151 V higher voltages, almost three times output current and lower average error.
DC-DC converter plays an important role in power conversion. They are used in many applications like computer power supplies, switching mode regulators etc. Control action of buck converters involves maintaining constant output voltage in the presence of change in load and change in supply voltage conditions. Traditional controllers like PID controllers have limitation in control action whenever the changes are rapid in nature. Fuzzy controllers described by linguistic variables can be employed for buck converter output voltage control. Fuzzy controller can be used as stand alone or in conjunction with PI controller for buck converter output control. In this paper design and simulation using MATLAB/SIMULINK of buck converter output voltage using fuzzy logic control is presented. Simulation results are presented to prove that the steady state deviations of fuzzy PI controller are minimum.
Study of Fuzzy Logic Control of Dc-Dc Buck Converter
2017
Because of unspecified transfer function of dc dc converters fuzzy controllers can be used instead of classical controllers. The design of fuzzy controllers does not require an exact mathematical model. Instead they are designed based on general knowledge of the plant. In this paper, a fuzzy logic controller for a DC-DC buck converter is designed. The designed controlled system is simulated in MATLAB/Simulink software. Different parameters such as input voltage and output load are varied and the responses of fuzzy controller to these variations have been studied and investigated in order to evaluate the designed controller performance. The simulation results are presented. Fast dynamic response of the output voltage and robustness to load and input voltage variations are obtained. Keywords: Fuzzy Logic Controller, FLC, DC - DC converter, Buck converter
2018
This paper presents the design, simulation and comparative evaluation of both a classic proportional-integral (PI) controller and a fuzzy logic PI controller applied to the output voltage control of a DC-DC buck converter. The performance comparison was done in terms of overshoot and settling time simulated in Matlab-Simulink. Results demonstrated that the fuzzy logic PI controller has a superior performance compared to the classic PI controller, furthermore the design becomes simpler, since it is not necessary to find the mathematical model of the system to be controlled. Streszczenie: W pracy przedstawiono projektowanie i badania symulacyjne układów sterowania przekształtnika DC-DC opartych na klasycznym regulatorze typu PI i regulatorze PI, zrealizowanym z wykorzystaniem logiki rozmytej. Zarówno projektowanie jak i badania symulacyjne zostały przeprowadzone przy użyciu programu Matlab – Simulink. Uzyskane wyniki wskazuję na lepsze właściwości układu sterowania zrealizowanego w lo...
i DEVELOPMENT OF A DC-DC BUCK BOOST CONVERTER USING FUZZY LOGIC CONTROL
A fuzzy controller of DC-DC Buck-boost converter is designed and presented in this project. In order to control the output voltage of the buck-boost converter, the controller is designed to change the duty cycle of the converter. The mathematical model of buckboost converter and fuzzy logic controller are derived to design simulation model. The simulation is developed on Matlab simulation program. To verity the effectiveness of the simulation model, an experimental set up is developed. The buck-boost circuit with mosfet as a switching component is developed. The fuzzy logic controller to generate duty cycle of PWM signal is programmed. The simulation and experimental results show that the output voltage of the buck-boost converter can be controlled according to the value of duty cycle vi ABSTRAK Sebuah pengawal alat peranti fuzzy Buck-boost DC-DC direka dan dihasilkan dalam projek ini. Untuk mengendalikan tegangan output dari alat peranti buck-boost, alat pengawal direka untuk menukar kerja-kerja kitaran dari alat peranti. Model matematik dari peranti buck-boost dan pengawal logic fuzzy yang diperolehi dan direka digunakan sebagai model simulasi. Simulasi dibangunkan dalam program Matlab. Untuk menunjukkan hasil keberkesanan yang sebenar, sebuah peranti eksperimental dibangunkan. Rangakaian buck-boost beserta dengan mosfed dibangunkan sebagai komponen pertukaran pengawal logic -fuzzy untuk menghasilkan kerja-kerja kitaran dari isyarat PWM yang telah diprogramkan. Simulasi dan hasil percubaan menunjukkan bahawa voltan keluaran dari peranti buck-boost boleh dikawal sesuai dengan nilai kitaran kerja.
Comparative Analysis of PI, PID and Fuzzy Logic Controllers for Speed Control of DC Motor
2014
DC motor plays an important role in industry. Thus, the speed control of DC motor is a prime task. This paper gives a comparison of the performance of conventional proportional integral (PI), proportional integral derivative (PID) and fuzzy logic controllers (FLC) for speed control of DC motor. A set of rules have been designed for FLC. FLC is an expert knowledge system which improves the result. Thus the comparison of the graphical results so obtained shows that fuzzy logic approach has minimum overshoot, fast response, and minimum transient and steady state parameters. The results so obtained conclude that FLC is more efficient than PI and PID controller.
This paper contains, performance of fuzzy controllers which evaluated and compared. It also describes the speed control based on Linear Quadratic Regulator (LQR) technique. The comparison is based on their ability of controlling the speed of DC motor, which merely focuses on performance of the controllers, and also time domain specifications such as rise time, settling time and peak overshoot. The controller is designed using MATLAB software, the results shows that the fuzzy controllers are the good but it as higher overshoot in comparison with optimal LQR. Thus, the comparative study recommends LQR controller gives better performance than the other controllers.