Photovoltaic Grid-Connected Micro-Inverter Based on Self-Tuning Fuzzy-PI Controller

2014 ◽  
Vol 986-987 ◽  
pp. 1098-1102 ◽  
Author(s):  
Chang Liang Liu ◽  
Hui Chao Zhang
Keyword(s):  
Control Strategy ◽  
Fuzzy Controller ◽  
Tracking Error ◽  
Pi Controller ◽  
Matlab Simulation ◽  
Highly Nonlinear ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Pv Grid ◽  
Micro Inverter

This paper introduces a kind of grid-connected micro-inverter system. Photovoltaic micro-inverter system is a highly nonlinear and time-varying system. Compared to traditional linear control strategy, Fuzzy Controller has better robustness and stability in the changing or non-linear application. Matlab simulation model for current tracking PV Grid-connected Micro-inverter was completed based on the Fuzzy self-tuning PI controller and the control strategy was tested on the micro-inverter prototype. The resu1ts show that this control strategy can effectively reduce the tracking error of the net current, and improve the system’s dynamic response.

Design and Application of Fuzzy Controller

2011 ◽  
Vol 464 ◽  
pp. 107-110 ◽  
Author(s):  
Wei Zhang ◽  
Xue Yong Li ◽  
Li Li ◽  
Jing Qiao Lv ◽  
Yan Feng Chen ◽  
...  
Keyword(s):  
Pid Controller ◽  
Large Time ◽  
Fuzzy Controller ◽  
Transient State ◽  
Pi Controller ◽  
Steam Temperature ◽  
Analysis And Design ◽  
Highly Nonlinear ◽  
Fuzzy Logic Method ◽  
Fuzzy Pi Controller

The steam temperature of the boiler is one of the important parameters in the power plant, and it is necessary to keep the temperature at a steady range. For the traditional PID controller, which is suitable for the analysis and design of the linear system, is unfit for the control of the steam temperature of the boiler, since it’s a nonlinear system where exists large time delay. To address this kind of problem, we combine the traditional PID method with the fuzzy logic method to construct a compound fuzzy PI controller in order to improve the performances in both steady state and transient state of the classical PID controller when highly nonlinear processes and better control performances have been arrived at.

Research on Combined Control Strategy of Three-Phase Photovoltaic Grid-Connected Inverter Based on Fuzzy PI Controller

2011 ◽  
Vol 347-353 ◽  
pp. 591-600
Author(s):  
Nguyen Viet Ngu ◽  
Hong Hua Wang ◽  
Le Thi Minh Tam
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Pi Controller ◽  
Current Control ◽  
Three Phase ◽  
Combined Control ◽  
Fuzzy Pi Controller ◽  
Bus Voltage ◽  
Grid Connected Inverter ◽  
Pv Grid

The control objective of three-phase photovoltaic (PV) grid-connected inverter is to generate high quality and stable AC sinusoidal output power with the same phase angle, frequency and amplitude compatible with the grid-connected voltage. To overcome the shortcoming of the normal current PWM control method and traditional PI algorithm, this paper researches a combined control strategy of three phase PV grid-connected inverter based on fuzzy PI controller. The combined control strategy switches different PWM current control method among the hysteretic PWM, SVPWM, hysteretic current SVPWM according to the error between command current and feedback current，and the d-axis command current is output of fuzzy PI controller of DC bus voltage. The simulation model of the combined control strategy for three phase PV grid-connected inverter based on normal PI controller is built with Matlab, simulation results verified the combination control strategy based on fuzzy PI controller has excellent performances.

scholarly journals Analysis and Design of a Double Fuzzy PI Controller of a Voltage Outer Loop in a Reversible Three-Phase PWM Converter

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3778
Author(s):  
Weixuan Zhang ◽  
Yu Fang ◽  
Rong Ye ◽  
Zhengqun Wang
Keyword(s):  
Fuzzy Controller ◽  
Pi Controller ◽  
Pi Control ◽  
Control Parameters ◽  
Outer Loop ◽  
Pwm Converter ◽  
Dc Voltage ◽  
Three Phase ◽  
Wide Range ◽  
Fuzzy Pi Controller

Aiming at the application of a reversible three-phase pulse width modulation (PWM) converter with a wide range of AC side voltage and DC side voltage, a double fuzzy proportional integral (PI) controller for voltage outer loop was proposed. The structures of the proposed controller were motivated by the problems that either the traditional PI controller or single fuzzy PI controller cannot achieve high performance in a wide range of AC and DC voltage conditions. The presented double fuzzy controller studied in this paper is a sub fuzzy controller in addition to the traditional fuzzy PI controller; in particular, the sub fuzzy controller can get the auxiliary correction of PI control parameters according to the AC side voltage and the DC side given voltage variation of PWM converter after the reasoning of the sub fuzzy controller, while the traditional fuzzy PI controller outputs the correction of PI control parameters according to the DC voltage error and its error change rate. In this paper, the traditional fuzzy PI controller can be called the main fuzzy controller, and the adaptive adjustment of PI control parameters of the voltage outer loop is the sum of the PI parameter correction output by the main fuzzy controller and the auxiliary PI parameter correction output by the sub fuzzy controller. Finally, the experimental results show that the reversible three-phase PWM converter can achieve excellent dynamic and static performance in a wide range of AC voltage and DC voltage applications by using the proposed double fuzzy PI controller.

Positioning System with Progressive Wave-Type Ultrasonic Motor under Self-Tuning Fuzzy Control

1995 ◽  
Vol 7 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Junji Fukumi ◽  
◽  
Takuya Kamano ◽  
Takayuki Suzuki ◽  
Yu Kataoka ◽  
...  
Keyword(s):  
Feedback Loop ◽  
Fuzzy Controller ◽  
Lower Layer ◽  
Tracking Error ◽  
Ultrasonic Motor ◽  
The Self ◽  
Positioning System ◽  
Wave Type ◽  
Nonlinear Characteristics ◽  
Self Tuning

This paper considers the use of a self-tuning fuzzy controller for a positioning system with a progressive wavetype ultrasonic motor. The system consists of a feedback loop with a conventional controller and a self tuning fuzzy controller. The objective of the self tuning fuzzy controller is to restrain the adverse effect of nonlinear characteristics of the motor and to improve the tracking performance. The self-tuning fuzzy controller is functionally divided into two layers. The fuzzy rules are automatically adjusted by a tuning algorithm so that the tracking error is minimized in the upper layer. In lower layer, the output signal of the self tuning fuzzy controller is obtained by fuzzy reasoning procedure. After the tuning process is completed, the tracking error almost converges to zero, and the ultrasonic motor is no longer controlled by the fixed gain feedback controller but by the self-tuning fuzzy controller. The effectiveness of the proposed self-tuning fuzzy controller is demonstrated by an experiment.

AC Motor Speed Control Double Close Loop Cascade Fuzzy PI Controller Design

2012 ◽  
Vol 516-517 ◽  
pp. 1571-1574
Author(s):  
Shuang Shuang Li ◽  
Yong Xin Liu
Keyword(s):  
Controller Design ◽  
Asynchronous Motor ◽  
Pi Controller ◽  
Regulation System ◽  
Motor Speed ◽  
Speed Regulation ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
The Difference ◽  
Fuzzy Parameter

Cascade Speed Regulation System has the nonlinear characteristics and whose structure parameters are variable easily. Fuzzy control theory which based on conventional Cascade Speed Regulation System is introduced into such system. An asynchronous motor model is built, and a fuzzy parameter self-tuning controller is designed in this paper, the controller is simulated in Matlab, The simulation result shows the difference between the conventional PI controller and the fuzzy parameter self-tuning PI controller. From these simulation results, all performance indexes of the fuzzy PI controller with parameters self-tuning are vastly superior to those of the conventional PI controller.

Sign in / Sign up

Export Citation Format

Share Document