scholarly journals FOPID Controller Design and Implementation for High Gain Quadratic Boost Switched Capacitor Converter

2020 ◽  
Vol 64 (4) ◽  
pp. 382-391
Author(s):  
Sivaraj Desingu ◽  
Arounassalame Mouttou

In Solar panel and UPS, high gain DC-DC converters are commonly used. In grid connected inverter specifications, the batteries and solar panel voltage level are low. The use of multiple series related DC batteries and PV panels directly connected to the inverter, it simplifies the process, but the expense is high, and efficiency is low. A high-gain Quadratic Boost Switched Capacitor Converter is proposed in this paper. The high step up voltage gain is achieved by adding the voltage multiplier topology in the conventional quadratic boost converter with the correct duty ratio. The fractional order controller is implemented, and it’s tuned by genetic algorithm optimization method for improving the performance of the proposed converter. Its characteristics are low energy processing, robustness and balanced voltage of cells. The performed that include the proposal and existing solutions, the theoretical results are verified from MATLAB/SIMULINK toolbox.

2019 ◽  
Vol 28 (08) ◽  
pp. 1950138 ◽  
Author(s):  
WangLok Do ◽  
Farzin Asadi ◽  
Kei Eguchi

The paper presents the theoretical analysis way of the switched capacitor converter (SCC). The main goal of this research is to suggest the analysis way of three-phase SCC. A common SCC operates by two phases; charging phase and discharging phase. Therefore, state-space averaging model or slow and fast switching limit (S-FSL) model has been suitable. Although the four-terminal equivalent model can cover all situation including three-phases cases, this model does not include the parameter of frequency and capacitance. Therefore, the four-terminal model has a weakness. In this situation, we selected the Fibonacci sequence SCC operated by three-phase as the target circuit, which topology has been proved to have higher efficiency, small size in the previous research. In the paper, we suggest the new analysis way of the three-phase SCC by combination of the four-terminal equivalent model and RC circuit model from each loop equation of the equivalent circuits of the SCC. By using the suggested way, it is possible to analyze the three-phase SCC, deriving the effect of the load, operation frequency and duty ratio variation. In order to verify the feasibility and the cogency of the suggested analysis way, comparative analysis is implemented by SPICE simulations. The error in the load regulation between the suggested way and the simulation result is negligible. Through this result, we establish the foundation of the analysis of the three-phase SCC.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8091
Author(s):  
Girish Ganesan Ramanathan ◽  
Naomitsu Urasaki

The increase in global energy demand has led to increased research in harvesting solar energy. Solar energy is widely used in homes, electric vehicles and is a great solution to power remote areas. DC–DC converters are essential in extracting power from solar panels. One of the main problems in designing converters for solar energy applications is boosting the low output voltage of the solar panel to meaningful levels. While there are several topologies to achieve high gain, some of the problems faced by them are the extreme duty ratio, complex design and discontinuous input current. This paper presents a novel topology that uses an interleaved input, a voltage lift capacitor and a hybrid switched capacitor network to achieve high gain without an extreme duty ratio or bulky magnetics. The proposed converter is controlled using a microcontroller which regulates the output voltage. The voltage lift capacitor and the switched capacitor network enhances the voltage gain over a conventional boost converter without an extreme duty ratio. The analysis and design of the proposed converter are presented and verified with a 100 W prototype. The results show that the converter provides a gain of 10, at a duty ratio of 30%, while delivering the designed output power with considerably high efficiency.


2014 ◽  
Vol 926-930 ◽  
pp. 1218-1221
Author(s):  
Jun Shi ◽  
Hua Jie Wu

Parameter optimization of PID controller design, parameter optimization method is proposed based on quantum genetic algorithm for PID controller tuning problem. Quantum Genetic Algorithm (QGA) DC servo motor control system PID parameter optimization control, quantum genetic algorithm to optimize the results of the genetic algorithm, the simulation results show that the QGA to optimize control get PID controller comprehensive performance is better than general genetic algorithm optimization PID controller, and the realization of the algorithm does not depend on the controlled object, so that the control system has better robustness and stability, with a wide range of practical in engineering practice play a good role in the control.


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