scholarly journals Analyses and Control of Chaotic Behavior in DC-DC Converters

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Cheng-Biao Fu ◽  
An-Hong Tian ◽  
Kuo-Nan Yu ◽  
Yi‐Hung Lin ◽  
Her-Terng Yau
Keyword(s):  
Fuzzy Control ◽  
Phase Plane ◽  
Chaotic Behavior ◽  
Nonlinear Behavior ◽  
Absolute Error ◽  
Input Voltage ◽  
Buck Converter ◽  
Simulation Results ◽  
And Control ◽  
Better Than

In this study the nonlinear behavior of a buck converter was simulated and the responses of Phases 1 and 2 and the chaotic phase were investigated using changes of input voltage. After a dynamic system model had been acquired using basic electronic circuit theory, Matlab and Pspice simulations were used to study system inductance, resistance, and capacitance. The characteristic changes of input voltage, and phase plane traces from simulation and experiments showed nonlinear behavior in Phases 1 and 2, as well as a chaotic phase. PID control and Integral Absolute Error (IAE) were used as adaption coefficients to control chaotic behavior, and particle swarm optimization (PSO) and the genetic algorithm were used to find the optimal gain parameters for the PID controller. Simulation results showed that the control of chaotic phenomena could be achieved and errors were close to zero. Fuzzy control was also used effectively to prevent chaos. The experimental results also showed nonlinear behavior from Phases 1 and 2 as well as the chaotic phase. Laboratory experiments conducted using both PID and fuzzy control echoed the simulation results. The fuzzy control results were somewhat better than those obtained with PID.

scholarly journals Bat Algorithm Based an Adaptive PID Controller Design for Buck Converter Model

2020 ◽  
Vol 26 (7) ◽  
pp. 62-82
Author(s):  
Luay Thamir Rasheed
Keyword(s):  
Control System ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Tracking Error ◽  
Bat Algorithm ◽  
Input Voltage ◽  
Buck Converter ◽  
Control Action ◽  
On Line ◽  
Simulation Results

The aim of this paper is to design a PID controller based on an on-line tuning bat optimization algorithm for the step-down DC/DC buck converter system which is used in the battery operation of the mobile applications. In this paper, the bat optimization algorithm has been utilized to obtain the optimal parameters of the PID controller as a simple and fast on-line tuning technique to get the best control action for the system. The simulation results using (Matlab Package) show the robustness and the effectiveness of the proposed control system in terms of obtaining a suitable voltage control action as a smooth and unsaturated state of the buck converter input voltage of ( ) volt that will stabilize the buck converter system performance. The simulation results show also that the proposed control system when compared with the other controllers results has the capability of minimizing the rising time to (  sec) and the settling time to (  sec) in the transient response and minimizing the voltage tracking error of the system output to ( ) volt at the steady state response. Furthermore, the number of fitness evaluations is decreased.

scholarly journals Adaptive On-Time Control Buck Converter with a Novel Virtual Inductor Current Circuit

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2143 ◽  
Author(s):  
Hsiao-Hsing Chou ◽  
Hsin-Liang Chen ◽  
Yang-Hsin Fan ◽  
San-Fu Wang
Keyword(s):  
Control Mechanism ◽  
Circuit Complexity ◽  
Design Procedure ◽  
Input Voltage ◽  
Cmos Technology ◽  
Buck Converter ◽  
Load Step ◽  
Time Control ◽  
Simulation Results ◽  
Step Down

This study presents a new virtual inductor current circuit to reduce circuit complexity, which is not necessary to sense inductance current directly. The buck converter was designed to produce an output voltage of 1.0–2.5 V for a 3.0–3.6 V input voltage. The load current range was from 100 mA to 500 mA. It was simulated and verified by SIMPLIS and MathCAD. The simulation results of this buck converter show that the voltage error is within 1%, and the recovery time is smaller than 2 ms for step-up and step-down load transients. Additionally, it achieves less than 26 mV overshoot at full-load step transient response. The circuit topology would be able to fabricate using TSMC 0.35 mm 2P4M CMOS technology. The control mechanism, implementation, and design procedure are presented in this paper.

scholarly journals Closed-loop Simulation of Buck Converter Based on PSIM

2021 ◽  
Vol 256 ◽  
pp. 02021
Author(s):  
Sun Quan ◽  
Sun Yuan
Keyword(s):  
Closed Loop ◽  
Voltage Control ◽  
Input Voltage ◽  
Simulation Software ◽  
Buck Converter ◽  
Practical Application ◽  
Voltage Control Strategy ◽  
Special Power ◽  
Working Principle ◽  
Simulation Results

This paper introduces the working principle of Buck converter under voltage control, and studies the modeling method of Buck converter under special power electronics simulation software. Finally, the simulation of the converter is carried out under the condition of the mutation of input voltage and load. The simulation results show that the voltage control strategy has good transient response and anti-jamming ability, which has a good guiding significance for practical application.

A Design Method for IIR and FIR Digital Notch Filter Used to sEMG

2012 ◽  
Vol 263-266 ◽  
pp. 184-187
Author(s):  
Lin Li ◽  
Jian Hui Wang ◽  
Shuai Ban
Keyword(s):  
Design Method ◽  
Notch Filter ◽  
Recognition System ◽  
Non Invasive ◽  
Bioelectric Signal ◽  
Digital Notch Filter ◽  
Simulation Results ◽  
And Control ◽  
Better Than ◽  
Semg Signals

Surface electromyography (sEMG) signals, a non-invasive bioelectric signal, can be used for the rehabilitation and control of artificial extremities. But this signal is so weak that the electrical voltages ranging from -5 to +5 mv. In order to eliminate the 50Hz noise included in sEMG and hold details of the signal, IIR50HZ notch filter and FIR 50Hz notch filter are design. The compared simulation results show that the application of FIR 50Hz is better than IIR 50Hz in sEMG patter recognition system.

scholarly journals Fractional analog scheme for efficient stabilization of a synchronous buck converter

2020 ◽  
Vol 71 (2) ◽  
pp. 116-121
Author(s):  
Watson Valele ◽  
Robsen Virambath ◽  
Utkal Mehta ◽  
Sheikh Azid
Keyword(s):  
Fractional Order ◽  
Input Voltage ◽  
Buck Converter ◽  
Future Directions ◽  
Parameter Variations ◽  
Improved Performance ◽  
Fractional Order Controller ◽  
And Control ◽  
Current Ripples ◽  
Fractional Controller

AbstractThis paper presents the design and control of power electronic synchronous buck converter. Even though a synchronous buck converter is more popular and more widely available, it is not always efficient as nonsynchronous. Firstly, the inputoutput linearization from the state space averaging of the converter is studied, after which a small AC signal analysis is introduced to obtain the dynamic transfer function. All the parameters of the converter are calculated based on the output voltage, current ripples as well as the input voltage. For robustness, the controller is implemented by comparing the response of integer order with non-integer (fractional) order controller, simply known as fractional order controller (FOC). The fractional order derivative is implemented from the Oustaloup approximation and the controller parameters are being tuned using Nelder Mead approximation bases on a system model. It is shown that the FOC performance is comparatively better in presence of the load disturbances and parameter variations. The experimental study with the real-time fractional PI is possible to make for a stand-alone embedded application using FPAA. The proposed technique does not require any digitization of the signal, so it can be easy to implement with improved performance. The effectiveness of the analog controller is discussed, giving some future directions to adopt the new fractional controller.

scholarly journals Stability Analysis and Control of Nonlinear Behavior in V2Switching Buck Converter

2014 ◽  
Vol 14 (6) ◽  
pp. 1208-1216 ◽  
Author(s):  
Wei Hu ◽  
Fangying Zhang ◽  
Xiaoli Long ◽  
Xinbing Chen ◽  
Wenting Deng
Keyword(s):  
Stability Analysis ◽  
Nonlinear Behavior ◽  
Buck Converter ◽  
And Control

NONLINEAR/CHAOTIC MODELING AND CONTROL OF COMBUSTION INSTABILITIES

2010 ◽  
Vol 20 (04) ◽  
pp. 1245-1254 ◽  
Author(s):  
S. LEI ◽  
A. TURAN
Keyword(s):  
Control Method ◽  
Chaotic Behavior ◽  
Combustion Process ◽  
Nonlinear Behavior ◽  
Combustion Instabilities ◽  
Minimum Entropy ◽  
Modeling And Control ◽  
Discrete Dynamic Model ◽  
The Stability ◽  
And Control

A discrete dynamic model accounting for both combustion and vaporization processes is proposed. In terms of different bifurcation parameters relevant to either combustion or evaporation, various bifurcation diagrams are presented. Furthermore, the corresponding Lyapunov exponent is calculated and employed to analyze the stability of the particular dynamic system. The study indicates conclusively that the evaporation process has a significant impact on the intensity and nonlinear behavior of the system of interest, vis-à-vis a model accounting for only the gaseous combustion process. Moreover, a minimum entropy control method is employed to control the chaotic behavior inherent to the system of interest. This algorithm is intended to be implemented for control of combustion instability numerically and experimentally to provide a basis for some of the control methodologies employed in the literature.

scholarly journals Numerical and experimental validation with bifurcation diagrams for a controlled DC–DC converter with quasi-sliding control

TecnoLógicas ◽  
2018 ◽  
Vol 21 (42) ◽  
pp. 147-167 ◽  
Author(s):  
Fredy E. Hoyos ◽  
John E. Candelo-Becerra ◽  
Nicolás Toro
Keyword(s):  
Output Voltage ◽  
Control Parameter ◽  
Experimental Validation ◽  
Chaotic Behavior ◽  
Previous Analysis ◽  
Buck Converter ◽  
Source Voltage ◽  
Simulation Results ◽  
The Stability ◽  
Transient And Steady State

This paper presents a stability analysis of a buck converter using a Zero Average Dynamics (ZAD) controller and Fixed-Point Induction Control (FPIC) when the control parameter 𝑁, the reference voltage υref, and the source voltage 𝐸 are changed. The study was based on a previous analysis in which the control parameter was adjusted to 𝑁=1 and the parameter 𝐾𝑠 was changed during the simulation, finding the stability zone and regions with chaotic behavior. Thus, this new study presents the transient and steady-state behaviors and robustness of the buck converter when the control parameter 𝑁 changes. Moreover, numerical simulation results are compared with experimental observations. The results show that the system regulates the output voltage with low error when the voltage is changed in the source E. Besides, the voltage overshoot increases, and the settling time decreases when the control parameter 𝑁 is augmented and the control parameter 𝐾𝑠 is constant. Furthermore, the buck converter controlled by ZAD and FPIC techniques is effective in regulating the output voltage of the circuit even when there are two delay periods and voltage input disturbances.

Design and Control for the Buck-Boost Converter Combining 1-Plus-D Converter and Synchronous Rectified Buck Converters

2015 ◽  
Vol 6 (2) ◽  
pp. 305
Author(s):  
Jeevan Naik
Keyword(s):  
Output Voltage ◽  
Input Voltage ◽  
Boost Converter ◽  
Buck Converter ◽  
Voltage Source ◽  
Buck Converters ◽  
Power Switches ◽  
Output Capacitor ◽  
And Control ◽  
Conduction Mode

<span>In this paper, a design and control for the buck-boost converter, i.e., 1-plus-D converter with a positive output voltage, is presented, which combines the 1-plus-D converter and the synchronous rectified (SR) buck converter. By doing so, the problem in voltage bucking of the 1-plus-D converter can be solved, thereby increasing the application capability of the 1-plus-D converter. Since such a converter operates in continuous conduction mode inherently, it possesses the nonpulsating output current, thereby not only decreasing the current stress on the output capacitor but also reducing the output voltage ripple. Above all, both the 1-plus-D converter and the SR buck converter, combined into a buck–boost converter with no right-half plane zero, use the same power switches, thereby causing the required circuit to be compact and the corresponding cost to be down. Furthermore, during the magnetization period, the input voltage of the 1-plus-D converter comes from the input voltage source, whereas during the demagnetization period, the input voltage of the 1-plus-D converter comes from the output voltage of the SR buck converter.</span>

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

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