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.

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.

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.

scholarly journals Fuzzy Modelling and Control of the Air System of a Diesel Engine

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
S. Simani ◽  
M. Bonfè
Keyword(s):  
Diesel Engine ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Pi Controller ◽  
Fuzzy Modelling ◽  
Air System ◽  
Fuzzy Pi Controller ◽  
And Control ◽  
System Controller ◽  
Modelling Approach

This paper proposes a fuzzy modelling approach oriented to the design of a fuzzy controller for regulating the fresh airflow of a real diesel engine. This strategy has been suggested for enhancing the regulator design that could represent an alternative to the standard embedded BOSCH controller, already implemented in the Engine Control Unit (ECU), without any change to the engine instrumentation. The air system controller project requires the knowledge of a dynamic model of the diesel engine, which is achieved by means of the suggested fuzzy modelling and identification scheme. On the other hand, the proposed fuzzy PI controller structure is straightforward and easy to implement with respect to different strategies proposed in literature. The results obtained with the designed fuzzy controller are compared to those of the traditional embedded BOSCH controller.

Power Quality Control of Wind-Diesel Hybrid Power Systems Using Fuzzy PI Controller

2012 ◽  
Vol 622-623 ◽  
pp. 1022-1026
Author(s):  
Su Hyung Yang ◽  
Ho Chan Kim ◽  
Chang Jin Boo ◽  
Min Jae Kang ◽  
Eel Hwan Kim ◽  
...  
Keyword(s):  
Power Systems ◽  
Power Quality ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Pi Controller ◽  
Hybrid Power Systems ◽  
Hybrid Power ◽  
Control Scheme ◽  
Fuzzy Pi Controller ◽  
Simulation Results

This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. The proposed control scheme for power quality is fuzzy PI controller which has advantages of PI and fuzzy controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-diesel hybrid power system.

DESIGN OF ADAPTIVE FUZZY FRACTIONAL ORDER PID CONTROLLER FOR AUTONOMOUS UNDERWATER VEHICLE (AUV) IN HEADING AND DEPTH ATTITUDES

2021 ◽  
Vol 158 (A1) ◽  
Author(s):  
M H Khodayari ◽  
S Balochian
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Autonomous Underwater Vehicle ◽  
Path Following ◽  
Transient State ◽  
Pid Controllers ◽  
Adaptive Fuzzy ◽  
Highly Nonlinear ◽  
Self Tuning ◽  
Fractional Order Pid

This paper deals with the design of new self-tuning Fuzzy Fractional Order PID (AFFOPID) controller based on nonlinear MIMO structure for an AUV in order to enhance the performance in both transient state and steady state of traditional PID controller. It is particularly advantageous when the effects of highly nonlinear processes, like high maneuver, parameters variation, have to be controlled in presence of sensor noises and wave disturbances. Aspects of AUV controlling are crucial because of Complexity and highly coupled dynamics, time variety and difficulty in hydrodynamic modeling. In this try, the comprehensive nonlinear model of AUV is derived through kinematics and dynamic equations. The scaling factor of the proposed AFFOPID Controller is adjusted online at different underwater conditions. Combination of adaptive fuzzy methods and PID controllers can enhance solving the uncertainty challenge in the PID parameters and AUV parameter uncertainty. The simulation results show that developed control system is stable, competent and efficient enough to control the AUV in path following with stabilized and controlled speed. Obtained results demonstrate that the proposed controller has good performance and significant robust stability in comparison to traditional tuned PID controllers.

Research on the Technology of No-Load Cutting-in Control of Doubly Fed Induction Wind-Power Generator Based-on Fussy PI Controller

2010 ◽  
Vol 171-172 ◽  
pp. 421-424
Author(s):  
Xiu He Lu ◽  
Yong Qiang Wei
Keyword(s):  
Dynamic Response ◽  
Wind Power ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Power Generator ◽  
Strong Robustness ◽  
Wind Power Generator ◽  
Fuzzy Pi Controller ◽  
Doubly Fed ◽  
Fast Dynamic

The methods of vector transform and PI controller are used in no-load cutting-in control scheme of the system of doubly fed induction wind power generator, but the control methods depend on the parameters of electronic machine strongly. For raising the steady of wind power generating system, this paper designs a fuzzy PI controller which with strong robustness and fast dynamic response of fuzzy controller and better steady precision of PI controller. The result of simulation indicates that the fuzzy PI controller not only shorts the process of no-load cutting-in, but also has strong robustness and fast dynamic response, it is an ideal cutting-in control strategy.

Design and Application of Self-Tuning PI Controller

2010 ◽  
Vol 43 ◽  
pp. 160-164 ◽  
Author(s):  
Xiao Hong Kong ◽  
Bao Jian Zhang ◽  
Xin Hua Mao ◽  
Yan Feng Chen ◽  
Chang Yuan Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Pi Controller ◽  
Compound Control ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Overall Performance ◽  
Application Fields

The permanent magnet synchronous motor (PMSM) is popularly used in many application fields for such advantages as having the speed-torque characteristics similar to that of a DC motor. Nevertheless, the overall performance of the PMSM is largely dependent on that of the control system. The classical PID controller, which has acquired wide applications in many fields, is only suitable for the design of the linear system and cannot meet the requirements of the nonlinear system like the PMSM. In this paper, a compound control system combining the classical PID control and the fuzzy control is presented to meet the requirements of control system. Simulation results show that the fuzzy PI controller has better performance than that of the classical PI controller.

Automatic Control of Pulp pH Value

2014 ◽  
Vol 644-650 ◽  
pp. 684-688
Author(s):  
Song Wei Huang ◽  
Ge Peng ◽  
Li Fang He
Keyword(s):  
Zinc Oxide ◽  
Control System ◽  
Time Delay ◽  
Automatic Control ◽  
Large Time ◽  
Fuzzy Controller ◽  
Ph Value ◽  
Pi Controller ◽  
Oxide Powder ◽  
Zinc Oxide Powder

Control of pulp pH value is the key step in the process of washing zinc oxide. Due to the characteristics of large time delay and strong nonlinear, the control of pulp pH value is very difficult. In this paper, aiming at the above problem and according to the features of washing operation of zinc oxide powder, design a control system of a fuzzy controller, secondary fuzzy controller and PI controller.

scholarly journals Comparison of Energy Consumption in the Classical (PID) and Fuzzy Control of Foundry Resistance Furnace

2012 ◽  
Vol 12 (3) ◽  
pp. 129-132 ◽  
Author(s):  
E. Ziółkowskia ◽  
P. Śmierciak
Keyword(s):  
Energy Consumption ◽  
Fuzzy Control ◽  
Control Systems ◽  
Pid Controller ◽  
Large Time ◽  
Fuzzy Controller ◽  
Pid Controllers ◽  
Resistance Furnace ◽  
New Developments ◽  
Reduce Energy Consumption

Abstract Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters. Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years, fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce new developments in control systems of foundry furnaces as well. Correctly selected fuzzy controller can significantly reduce energy consumption in a controlled thermal process of heating equipment. The article presents a comparison of energy consumption by control system of foundry resistance furnace, equipped with either a PID controller or fuzzy controller optimally chosen.

scholarly journals Identification and Adaptive Fuzzy Control for Navigation Systems of Autonomus Vehicles

2014 ◽  
Vol 8 (15) ◽  
pp. 25
Author(s):  
Juan Contreras ◽  
Manuel Ariza ◽  
Luís Velásquez ◽  
Alcides Ramos ◽  
Vladimir Díaz ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Pid Controller ◽  
Adaptive Fuzzy Control ◽  
Pi Controller ◽  
Navigation Systems ◽  
Simple Method ◽  
Real Model ◽  
Course Changes ◽  
Fuzzy Pi Controller ◽  
The Mathematical Model

This article presents a simple method to generate the automatic course control of surface naval vehicles by using fuzzy logic to adjust the parameters of the PID controller. The fuzzy systems constructedto automatically adapt the parameters of the PID controller are Mamdani type and use functions oftriangular relevance for the antecedent and the consequent. An application to a real model is presented,exposing the identification process to obtain the mathematical model from experimental data, thetemporal analysis from the mathematical model, obtain the parameters from the PI controller, and theresults on course changes between 125° and 305°. Thereafter, and bearing in mind the range of Kp and Ti parameters in which the system is stable, a structure of a self-tunable fuzzy PI controller was presentedand implemented with notable improvement in the response system.

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