Modeling and reliability analysis of three phase z-source AC-AC converter

Abstract This paper presents the small signal modeling using the state space averaging technique and reliability analysis of a three-phase z-source ac-ac converter. By controlling the shoot-through duty ratio, it can operate in buck-boost mode and maintain desired output voltage during voltage sag and surge condition. It has faster dynamic response and higher efficiency as compared to the traditional voltage regulator. Small signal analysis derives different control transfer functions and this leads to design a suitable controller for a closed loop system during supply voltage variation. The closed loop system of the converter with a PID controller eliminates the transients in output voltage and provides steady state regulated output. The proposed model designed in the RT-LAB and executed in a field programming gate array (FPGA)-based real-time digital simulator at a fixedtime step of 10 μs and a constant switching frequency of 10 kHz. The simulator was developed using very high speed integrated circuit hardware description language (VHDL), making it versatile and moveable. Hardware-in-the-loop (HIL) simulation results are presented to justify the MATLAB simulation results during supply voltage variation of the three phase z-source ac-ac converter. The reliability analysis has been applied to the converter to find out the failure rate of its different components.

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Development of Robust Excitation Controller for Synchronous Generator

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.573.328 ◽

2014 ◽

Vol 573 ◽

pp. 328-333

Author(s):

R. Ramya ◽

K. Selvi ◽

M. Tamilvanan

Keyword(s):

Output Voltage ◽

Closed Loop ◽

Synchronous Generator ◽

Local Mode ◽

Small Signal ◽

Closed Loop System ◽

Robust Controller ◽

Sensitivity Approach ◽

Single Machine Infinite Bus ◽

The Stability

This paper deals with the design and evaluation of robust excitation controller for a single-machine infinite-bus power system. The design of the regulator guarantees the stability of the closed loop system and ensures the output voltage is maintained within an acceptable threshold. In addition, it damps out local mode oscillations for small signal disturbances. The designed robust controller is also analyzed under change in step input and disturbance, which limits the heavy oscillations on the speed ω and voltage. Glover-McFarlane loop shaping algorithm is applied in designing the robust excitation controller. Two different techniques such as Optimal control and mixed sensitivity approach is used in this paper. The performance of the AVR was analyzed and compared with IEEE type2 Exciter.

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Effects of open and closed loop system of a six-pulse three phase controlled rectifier on variation in load, firing angle and source inductances

2014 16th International Power Electronics and Motion Control Conference and Exposition ◽

10.1109/epepemc.2014.6980654 ◽

2014 ◽

Cited By ~ 1

Author(s):

Usman Nasir ◽

Minxiao Han ◽

Farukh Abbas ◽

Akif Nadeem ◽

Danish Khan

Keyword(s):

Closed Loop ◽

Loop System ◽

Closed Loop System ◽

Three Phase

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Stability analysis of a phase-shifted full-bridge circuit for electric vehicles based on adaptive neural fuzzy PID control

Scientific Reports ◽

10.1038/s41598-021-99559-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yan Liu ◽

Yan Huang ◽

He Zhang ◽

Qiang Huang

Keyword(s):

Mathematical Model ◽

Stability Analysis ◽

Electric Vehicles ◽

Pid Control ◽

Closed Loop ◽

Loop System ◽

Small Signal ◽

Fuzzy Pid ◽

Closed Loop System ◽

Neural Fuzzy

AbstractIn the paper, adaptive neural fuzzy (ANF) PID control is applied on the stability analysis of phase-shifted full-bridge (PSFB) zero-voltage switch (ZVS) circuit, which is used in battery chargers of electric vehicles. At first, the small-signal mathematical model of the circuit is constructed. Then, by fuzzing the parameters of PID, a closed-loop system of the small-signal mathematical model is established. Further, after training samples collected from the fuzzy PID system by adaptive neural algorithm, an ANF PID controller is utilized to build a closed-loop system. Finally, the characteristics of stability, overshoot and response speed of the mathematical model and circuit model systems are analyzed. According to the simulation results of PSFB ZVS circuit, the three control strategies have certain optimizations in overshoot and adjustment time. Among them, the optimization effect of PID control in closed-loop system is the weakest. From the results of small-signal model and circuit model, the ANF PID system has highest optimization. Experiments demonstrate that the ANF PID system gives satisfactory control performance and meets the expectation of optimization design.

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Enhance GO methodology for reliability analysis of the closed-loop system using Cyclic Bayesian Networks

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2017.10.006 ◽

2018 ◽

Vol 113 ◽

pp. 237-252 ◽

Cited By ~ 5

Author(s):

Kanjing Li ◽

Yi Ren ◽

Dongming Fan ◽

Linlin Liu ◽

Zili Wang ◽

...

Keyword(s):

Bayesian Networks ◽

Reliability Analysis ◽

Closed Loop ◽

Loop System ◽

Closed Loop System ◽

Go Methodology

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Performance evaluation of a hybrid fuzzy logic controller based on genetic algorithm for three phase induction motor drive

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v10.i1.pp117-127 ◽

2019 ◽

Vol 10 (1) ◽

pp. 117 ◽

Cited By ~ 1

Author(s):

Ahmed Jadaan Ali ◽

Ziyad Farej ◽

Nashwan Sultan

Keyword(s):

Genetic Algorithm ◽

Fuzzy Logic ◽

Induction Motor ◽

System Performance ◽

Closed Loop ◽

Fuzzy Logic Controller ◽

Loop System ◽

Error Signal ◽

Closed Loop System ◽

Three Phase

<p class="Author"><span>It is known that controlling the speed of a three phase Induction Motor (IM) under different operating conditions is an important task and this can be accomplished through the process of controlling the applied voltage on its stator circuit. Conventional Proportional- Integral- Differeantional (PID) controller takes long time in selecting the error signal gain values. In this paper a hybrid Fuzzy Logic Controller (FLC) with Genetic Algorithm (GA) is proposed to reduce the selected time for the optimized error signal gain values and as a result inhances the controller and system performance. The proposed controller FL with GA is designed, modeled and simulated using MATLAB/ software under different load torque motor operating condition. The simulation result shows that the closed loop system performance efficiency under the controller has a maximum value of 95.92%. In terms of efficiency and at reference speed signal of 146.53 rad/sec, this system performance shows an inhancement of 0.67%,0.49% and 0.05% with respect to the closed loop system efficiency performance of the PID, FL, and PID with GA controllers respectively. Also the simulation result of the well designed and efficient GA in speeding up the process of selecting the gain values, makes the system to have an efficiency improvement of 14.42% with respect to the open loop system performance.</span></p>

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Modeling and control of a three-phase isolated grid-connected converter for photovoltaic applications

Sba Controle & Automação Sociedade Brasileira de Automatica ◽

10.1590/s0103-17592011000300001 ◽

2011 ◽

Vol 22 (3) ◽

pp. 215-228 ◽

Cited By ~ 11

Author(s):

Marcelo Gradella Villalva ◽

Marcos Fernando Espindola ◽

Thais Gama de Siqueira ◽

Ernesto Ruppert

Keyword(s):

Output Voltage ◽

Closed Loop ◽

Transfer Functions ◽

Voltage Source ◽

Small Signal ◽

Modeling And Control ◽

Photovoltaic Array ◽

Three Phase ◽

Photovoltaic Applications ◽

And Control

This paper describes the modeling and control of a three-phase grid-connected converter fed by a photovoltaic array. The converter is composed of an isolated DC-DC converter and a three-phase DC-AC voltage source inverter The converters are modeled in order to obtain small-signal transfer functions that are used in the design of three closed-loop controllers: for the output voltage of the PV array, the DC link voltage and the output currents. Simulated and experimental results are presented.

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CHAOTIFYING THE CONTROLLABLE LINEAR SYSTEM VIA SINGLE INPUT STATE FEEDBACK

International Journal of Modern Physics C ◽

10.1142/s0129183106009114 ◽

2006 ◽

Vol 17 (07) ◽

pp. 1027-1035

Author(s):

ZHENG MAO WU ◽

JUN GUO LU ◽

JIAN YING XIE ◽

JIE LI

Keyword(s):

Linear System ◽

Chaotic Dynamics ◽

State Feedback ◽

Closed Loop ◽

Loop System ◽

Input State ◽

Closed Loop System ◽

Single Input ◽

Simulation Results ◽

System States

An approach for chaotifying a stable controllable linear system via single input state-feedback is presented. The feedback controller designed is a sawtooth function of the system states, which can make the fixed point of the closed-loop system to be a snap-back repeller, thereby yielding chaotic dynamics. Based on the Marotto theorem, it is proven theoretically that the closed-loop system is chaotic in the sense of Li and Yorke. Finally, the simulation results are used to illustrate the effectiveness of the proposed theory.

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