scholarly journals Model Direct Adaptive Control of Buck Converter by using MRAC

2019 ◽  
Vol 8 (12) ◽  
pp. 1108-1112
Keyword(s):  
Adaptive Control ◽  
Pid Controller ◽  
Buck Converter ◽  
Settling Time ◽  
Step Response ◽  
Control Parameters ◽  
Simple Shape ◽  
Model Reference ◽  
Direct Adaptive Control ◽  
Ascent Time

DC-DC converters are commonly implemented in effective packages. One of the regular varieties of DC-DC converters is dollar converter. The flexible controller techniques can decorate framework reaction not just like PID controller with steady parameter isn't hearty enough. The temporary reaction of PID controller exhibitions is multiplied depending on versatile issue. That lets in you to determine excellent placing for the control parameters underneath a few circumstance, a bendy element relying on MIT popular is carried out. Direct MRAC has a simple shape and wonderful execution in a few scenario. The proposed framework is regular and geared up to reach on the reaction of model reference superbly. Be that as it is able to, the react of the framework has straight away overshoot and pursue again the reaction of model reference. The ascent time, settling time, overshoot, and unfaltering country for step response are some destinations that decide if the adjustment additions art work as it should be. The confinement of bendy manage is the choice of the adjustment profits. The adjustment additions of the controller parameters are gotten with the aid of experimental increases.

scholarly journals Fractional-Order Approximation and Synthesis of a PID Controller for a Buck Converter

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 629 ◽  
Author(s):  
Allan G. Soriano-Sánchez ◽  
Martín A. Rodríguez-Licea ◽  
Francisco J. Pérez-Pinal ◽  
José A. Vázquez-López
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Order Approximation ◽  
Buck Converter ◽  
Step Response ◽  
Pid Controllers ◽  
Limited Frequency ◽  
Tuning Process ◽  
Band Limited ◽  
Fractional Order Pid

In this paper, the approximation of a fractional-order PIDcontroller is proposed to control a DC–DC converter. The synthesis and tuning process of the non-integer PID controller is described step by step. A biquadratic approximation is used to produce a flat phase response in a band-limited frequency spectrum. The proposed method takes into consideration both robustness and desired closed-loop characteristics, keeping the tuning process simple. The transfer function of the fractional-order PID controller and its time domain representation are described and analyzed. The step response of the fractional-order PID approximation shows a faster and stable regulation capacity. The comparison between typical PID controllers and the non-integer PID controller is provided to quantify the regulation speed introduced by the fractional-order PID approximation. Numerical simulations are provided to corroborate the effectiveness of the non-integer PID controller.

2-DOF Planar Motion Control System Using Model Reference Adaptive Control (MRAC) Algorithm

2012 ◽  
Author(s):  
Andrew M. Y. Luk ◽  
Eric H. K. Fung ◽  
W. C. Gan
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Motion Control ◽  
Pid Controller ◽  
Model Reference Adaptive Control ◽  
Planar Motion ◽  
Motion Platform ◽  
Motion Control System ◽  
Model Reference ◽  
Model Reference Adaptive

This paper reports the application of Model Reference Adaptive Control (MRAC) to an X-Y planar motion mechanism. A flexure-based 2-DOF planar motion platform is first developed for the wafer probing purpose and a planar Voice Coil Motor (VCM) is used for driving the mechanism and the flexural bearings. The dynamics of the motion platform is governed by a set of differential equations using the mass-spring-damper model and the Kirchhoff’s circuit laws. Due to the non-linearity of the force constant and the coupling effect of the VCM, a MRAC algorithm is proposed to implement on the motion control system so as to improve the system transient response. In order to guarantee the stability of the Model Reference Adaptive System (MRAS), Lyapunov Theory is adopted in the controller design. The control system performance is simulated using MATLAB /SIMULINK with the considerations of the motor non-linearity and the assembly variation of the flexural mechanism. On the other hand, a conventional PID controller is also constructed for control experiments to compare the transient responses between MRAC and PID control systems. Simulation results revealed that the proposed MRAS outperforms the PID controller for the 2 DOF planar motion system in the presence of sensor noise, disturbing force and parameter variation effects.

scholarly journals Analisis Penalaan Kontrol PID pada Simulasi Kendali Kecepatan Putaran Motor DC Berbeban menggunakan Metode Heuristik

2013 ◽  
Vol 1 (2) ◽  
pp. 79 ◽  
Author(s):  
WALUYO WALUYO ◽  
ADITYA FITRIANSYAH ◽  
SYAHRIAL SYAHRIAL
Keyword(s):  
Steady State ◽  
Rise Time ◽  
Pid Controller ◽  
Settling Time ◽  
Control Parameters ◽  
Motor Speed ◽  
Set Point ◽  
Dc Motors ◽  
And Control ◽  
Peak Value

ABSTRAKMotor DC banyak digunakan di industri kecil dan besar.Kecepatan motor DC sering tidak stabil akibat gangguan dari luar maupun perubahan parameter dan torsi beban sehingga perlu dilakukan rancangan kontroler.Kontroler yang dirancang menggunakan PID yang terdiri dari tiga jenis cara pengaturan yang dikombinasikan, yaitu kontrol P (Proportional), kontrol I (Integral) dan kontrol D (Derivatif).Kontroler yang dirancang disimulasikan menggunakan perangkat lunak. Hasil simulasi menunjukan kontroler PID untuk kendali kecepatan motor DC ini menghasilkan kondisi robust (kokoh) saat nilai Kp = 1,1, Ti = 0,1, Td = 3,7. Hasil dari parameter kendali yang dirancang memiliki error steady state 0,99 % dan dengan settling time 3,7 detik pada rise time 2,00 detik dan nilai peak terletak pada 0,99. Kecepatan awal yang dihasilkan mendekati set point yang diinginkan pada detik ke 6 dan kecepatannya tidak ada penurunan atau tetap konstan sampai dengan detik ke 100.Kata kunci: Motor DC, PID, Heuristik, Steady State, Rise Time ABSTRACT DC motors are widely used in small and large industries. Their speeds are often unstable due to interference from outside or change the parameters and load torque, so that it was necessary to design a controller. The controller was designed using a PIDconsists of three types of arrangements, which are mutually combined way, namely the control P (Proportional), control I (Integral) and control D (Derivative). The controllers were designed using software for simulation. The simulation results showed the PID controller for DC motor speed control produced robust conditionswhen the value of Kp, Ti and Tdwere 1.1,  0.1 and 3.7 respectively. The results of the control parameters had error steady state 0.99 % and the settling time of 3.7 seconds at 2.0 sec rise time and the peak value was 0,99. The resulted initial velocity was very fast to approach the desired set point in the sixth second and its speed was remain constant until 100thsecond.Keywords: Motor DC, PID, Heuristic, Steady State, Rise Time

scholarly journals Hybrid posicast controller for a DC-DC buck converter

2008 ◽  
Vol 5 (1) ◽  
pp. 121-138 ◽  
Author(s):  
Udhayakumar Kaithamalai ◽  
Lakshmi Ponnusamy ◽  
Boobal Kandasamy
Keyword(s):  
Natural Frequency ◽  
Traditional Method ◽  
Pid Controller ◽  
Feedback Loop ◽  
Buck Converter ◽  
Step Response ◽  
Loop Design ◽  
Hybrid Controller ◽  
Damped System ◽  
Lower Noise

A new Posicast compensated hybrid controller for the DC-DC Buck converter is investigated. Posicast is a feed forward compensator, which eliminates the overshoot in the step response of a lightly damped system. However, the traditional method is sensitive to variations in natural frequency. The new method described here reduces this undesirable sensitivity by using Posicast within the feedback loop. Design of the Posicast function is independent of computational delay. The new controller results in a lower noise in the control signal, when compared to a conventional PID controller.

Application of Model Reference Adaptive Control to Solar Thermal Utilization Systems

1990 ◽  
Vol 112 (2) ◽  
pp. 117-124 ◽  
Author(s):  
Tadayoshi Tanaka
Keyword(s):  
Adaptive Control ◽  
Pid Controller ◽  
Temperature Response ◽  
Model Reference Adaptive Control ◽  
Fluid Temperature ◽  
The Sun ◽  
Model Reference ◽  
Solar Systems ◽  
Almost All ◽  
Model Reference Adaptive

A proportional plus integral plus derivative (PID) controller is used to obtain usable energy from the sun in almost all the solar systems in Japan. However, it is difficult to collect the heat continuously close to a prescribed temperature using a PID controller because the solar radiation is often interrupted by passing clouds. We investigated, therefore, a Model Reference Adaptive Control (MRAC) system. In order to demonstrate its effectiveness, we constructed a MRAC system and introduced it into the collector loop of a solar system. This paper gives an outline of the MRAC algorithm and describes the experimental results for the outlet fluid temperature response of the loop by the MRAC and PID. From these results, it is shown that the MRAC algorithm is suitable for controlling a system affected by irregular disturbances in the insolation.

STABILISASI TEGANGAN KELUARAN BUCK CONVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 125
Author(s):  
Oktriza Melfazen
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Rise Time ◽  
Fuzzy Logic Controller ◽  
Buck Converter ◽  
Settling Time

Buck converter idealnya mempunyai keluaran yang stabil, pemanfaatandaya rendah, mudah untuk diatur, antarmuka yang mudah dengan pirantiyang lain, ketahanan yang lebih tinggi terhadap perubahan kondisi alam.Beberapa teknik dikembangkan untuk memenuhi parameter buckconverter. Solusi paling logis untuk digunakan pada sistem ini adalahmetode kontrol digital.Penelitian ini menelaah uji performansi terhadap stabilitas tegangankeluaran buck converter yang dikontrol dengan Logika Fuzzy metodeMamdani. Rangkaian sistem terdiri dari sumber tegangan DC variable,sensor tegangan dan Buck Converter dengan beban resistif sebagaimasukan, mikrokontroler ATMega 8535 sebagai subsistem kontroldengan metode logika fuzzy dan LCD sebagai penampil keluaran.Dengan fungsi keanggotaan error, delta error dan keanggotaan keluaranmasing-masing sebanyak 5 bagian serta metode defuzzifikasi center ofgrafity (COG), didapat hasil rerata error 0,29% pada variable masukan18V–20V dan setpoint keluaran 15V, rise time (tr) = 0,14s ; settling time(ts) = 3,4s ; maximum over shoot (%OS) = 2,6 dan error steady state(ess) = 0,3.

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