• Title, Summary, Keyword: Fuzzy PI control

Search Result 313, Processing Time 0.051 seconds

The Characteristic of Control Response of BLDC using a Fuzzy PI Controller (퍼지 PI 제어기를 사용한 BLDC 제어 응답특성)

  • Yoon, Yong-Ho;Kim, Jae-Moon;Kim, Duk-Heon;Won, Chung-Yuen
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.60 no.10
    • /
    • pp.1978-1983
    • /
    • 2011
  • BLDC motor is used in a wide variety of industrial and servo applications. Its features and advantages mainly consist in high value of torque/inertia ratio, high efficiency with speed range and high dynamic performance. This paper deals with the speed control of a trapezoidal type brushless DC motor using Fuzzy PI controller. The conventional PI controller has been widely used in industrial applications. If we select a optimal PI control gain, the PI controller shows very good control performance. But it is very difficult to find the optimal PI control gain. Fuzzy control does not need any model of plant and is basically adaptive and gives robust performance for plant parameter variation. Therefore the combinations of conventional PI controller and fuzzy controller seem to be very effective. This paper deals with PI controller with 4-rule based fuzzy controller. The proposed fuzzy PI controller increases the control performance of the conventional PI controller. Simulation and experimental results show that fuzzy PI controller has a good robustness regarding the improper tuned PI controller.

A Fuzzy PI Controller for Pitch Control of Wind Turbine (풍력 발전기 피치 제어를 위한 퍼지 PI 제어기)

  • Cheon, Jongmin;Kim, Jinwook;Kim, Hongju;Choi, Youngkiu;Jin, Maolin
    • Journal of Drive and Control
    • /
    • v.15 no.1
    • /
    • pp.28-37
    • /
    • 2018
  • When the wind speed rises above the rated wind speed, the produced power of the wind turbines exceeds the rated power. Even more, the excessive power results in the undesirable mechanical load and fatigue. A solution to this problem is pitch control of the wind turbines. This paper presents a systematic design method of a collective pitch controller for the wind turbines using a discrete fuzzy Proportional-Integral (PI) controller. Unlike conventional PI controllers, the fuzzy PI controller has variable gains according to its input variables. Generally, tuning the parameters of fuzzy PI controller is complex due to the presence of too many parameters strongly coupled. In this paper, a systematic method for the fuzzy PI controller is presented. First, we show the fact that the fuzzy PI controller is a superset of the PI controller in the discrete-time domain and the initial parameters of the fuzzy PI controller is selected by using this relationship. Second, for simplicity of the design, we use only four rules to construct nonlinear fuzzy control surface. The tuning parameters of the proposed fuzzy PI controller are also obtained by the aforementioned relationship between the PI controller and the fuzzy PI controller. As a result, unlike the PI controller, the proposed fuzzy PI controller has variable gains which allow the pitch control system to operate in broader operating regions. The effectiveness of the proposed controller is verified with computer simulations using FAST, a NREL's primary computer-aided engineering tool for horizontal axis wind turbines.

Vector Control of Induction Machine with Fuzzy-PI Controller (퍼지-PI 제어기를 이용한 유도전동기 벡터제어)

  • Park, Gun-Tae;Kim, Jae-Hyung;Cha, Duk-Keun
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.1157-1159
    • /
    • 2001
  • The Induction motor Vector Control with PI controller has been widely used in industrial application. But PI control difficult in dealing with dynamic speed control, parameter variations, and load disturbances. Therefore, in this paper propose speed control of a induction motor using the PI controller with fuzzy controller. The proposed fuzzy PI controller increases the control performance of the PI controller. Simulation results show that fuzzy PI controller has a good robustness regarding the improper tuned PI controller.

  • PDF

A Study on the Gain Tuning of Fuzzy Logic Controller Superior to PI Controller in DC Motor Speed Control (직류 전동기 속도 제어에서 PI 제어기보다 우수한 퍼지 논리 제어기의 이득 선정을 위한 연구)

  • Kim, Young-Real
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.28 no.6
    • /
    • pp.30-39
    • /
    • 2014
  • Through a lot of papers, it has been concluded that fuzzy logic controller is superior to PI controller in motor speed control. Although fuzzy logic controller is superior to PI controller in motor speed control, the gain tuning of fuzzy logic controller is more complicated than that of PI controller. In this paper, using mathematical analysis of the PI and fuzzy controller, the design method of the fuzzy controller that has the same characteristics with the PI controller is proposed. After that, we can design the fuzzy controller that has superior performance than PI controller by changing the envelope of input of fuzzy controller to nonlinear, because the fuzzy controller has more degree of freedom to select the control gain than PI controller. The advantage of fuzzy logic controller is shown through mathematical analysis, and the simulation result using Matlab simulink has been proposed to show the effectiveness of these analysis.

The MPPT Control of Photovoltaic System using the Fuzzy PI Controller (퍼지 PI 제어기를 이용한 태양광 발전시스템의 MPPT 제어)

  • Ko, Jae-Sub;Chung, Dong-Hwa
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.28 no.2
    • /
    • pp.9-18
    • /
    • 2014
  • This paper proposes the fuzzy PI controller for maximum power point tracking(MPPT) control of photovoltaic system. The output characteristics of the solar cell are a nonlinear and affected by a temperature, the solar radiation. The MPPT control is a very important technique in order to increase an output and efficiency of the photovoltaic system. The conventional perturbation and observation(PO) and incremental conductance(IC) are the method which finding maximum power point(MPP) by the continued self-excitation vibration, and uses the fixed step size. If the fixed step size is a large, the tracking speed of maximum power point is faster, but the tracking accuracy in the steady state is decreased. On the contrary, when the fixed step size is a small, the tracking accuracy is increased and the tracking speed is slower. Therefore, this paper proposes the MPPT control using the fuzzy PI controller that can be improve a MPPT control performance. The fuzzy PI controller is adjusted a input of PI controller by fuzzy control and compensated a cumulative error of fuzzy control by PI controller. The fuzzy PI MPPT control is compared to conventional PO and IC MPPT method for various temperature and radiation condition. This paper proves the validity of the fuzzy PI controller using these results.

A design of Fuzzy PI+Fuzzy D Controller for Control of 3 Phase Induction Motor (3상 유도모터의 제어를 위한 퍼지 PI+퍼지 D 제어기의 구현)

  • Choo, Yeon-Gyu;Lee, Kwang-Seok;Kim, Hyun-Deok;Kim, Seung-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.713-716
    • /
    • 2007
  • In this paper, we consider one of robust control system, fuzzy PI+fuzzy D controller dealing with noise, load, changed parameters of plant. We apply PI+D controller with a design for output of differential function and, we plan fuzzy controller with input for PID parameter of PI+D controller so We design control system meet with the change of environment with robust in relation to change of parameter. Fuzzy control is possessed of easy 4 rules and membership function and We design fuzzy PI+fuzzy D controller. Plant of this paper make a choice of 3 phase induction motor.

  • PDF

A design of Fuzzy PI+Fuzzy D Controller for Control of 3 Phase Induction Motor (3상 유도모터의 제어를 위한 퍼지 PI+퍼지 D 제어기의 구현)

  • Choo, Yeon-Gyu;Lee, Kwang-Seok;Kim, Hyun-Deok
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.11 no.6
    • /
    • pp.1176-1181
    • /
    • 2007
  • In this paper, we consider one of robust control system, fuzzy PI+fuzzy D controller dealing with noise, load, changed parameters of plant. We apply PI+D controller with a design for output of differential function and, we plan fuzzy controller with input for PID parameter of PI+D controller so We design control system meet with the change of environment with robust in relation to change of parameter. Fuzzy control is possessed of easy 4 rules and membership function and We design fuzzy PI+fuzzy D controller. Plant of this paper make a choice of 3 phase induction motor.

Design of Fuzzy PI Controller for Variable Speed Drive of Switched Reluctance Motor (SRM의 가변속 구동을 위한 퍼지 PI 제어기 설계)

  • Yoon, Yong-Ho;Park, Jun-Suk;Song, Sang-Hoon;Won, Chung-Yuen;Kim, Jae-Moon
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.61 no.10
    • /
    • pp.1529-1535
    • /
    • 2012
  • This paper presents the application algorithm for speed control of Switched Reluctance Motor. The conventional PI controller has been widely used in industrial applications. But it is very difficult to find the optimal PI control gain. Fuzzy control does not need any model of plant. It is based on plant operator experience and heuristics. The proposed fuzzy logic modifier increases the control performance of conventional PI controller. Simulation and experimental results show that the proposed fuzzy control method was superior to the conventional PI controller in the respect of system performance. The experiments are performed to verify the capability of proposed control method on 6/4 salient type SRM.

A New Design of Fuzzy controller for HVDC system with the aid of GAs (HVDC 시스템에 대한 유전자 알고리즘을 사용한 새로운 퍼지 제어기의 설계)

  • Wang Zhong-Xian;Yang Jueng-Je;Rho Seok-Beom;Ahn Tae-Chon
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.12 no.3
    • /
    • pp.221-226
    • /
    • 2006
  • In this paper, we study an approach to design a Fuzzy PI controller in HVDC(High Voltage Direct Current) system. In the rectifier of traditional HVDC system, turning on, turning off, triggering and protections of thyristors have lots of problems that can make the dynamic instability and cannot damp the dynamic disturbance efficiently. In order to solve the above problems, we adapt Fuzzy PI controller for the fire angle control of rectifier. The performance of the Fuzzy PI controller is sensitive to the variety of scaling factors. The design procedure dwells on the use of evolutionary computing(Genetic Algorithms, GAs). Then we can obtain factors of the Fuzzy PI controller by Genetic Algorithms. A comparative study has been performed between Fuzzy PI controller and traditional PI controller, to prove the superiority of the proposed scheme.

A PI-Type Fuzzy Controller Having Fuzzy Resetting Capability (퍼지 리셋기능을 갖는 PI형 퍼지제어기)

  • 이지홍;최창현;장점환
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.30B no.12
    • /
    • pp.87-97
    • /
    • 1993
  • To improve the limitation of fuzzy PI controller when is applied to systems of order higher than one, a fuzzy PI controller that fuzzily resets or amplifies the accumulated control input according to fuzzy rules defined on (error, change of error) space is proposed. The proposed controller structure was motivated by the characteristics of fuzzy PI controller that it generally gives unevitable large overshoot in trial of reducing rise time of response especially when a system of order higher than one is considered. Based on the observation that the undesirable characteristics of the fuzzy PI controller is caused by integrating control input excessively, even though the integrator is introduced to overcome steady state error, we propose a controller that clear out or doubles integrated control input in a fuzzy manner according to the situation to reduce rise time as well as overshoot. To show the usefulness of the proposed controller, it is applied to the systems that are difficult to stabilize or difficult to get satisfactory response by conventional fuzzy PI controllers.

  • PDF