Hybrid-PI 제어기를 이용한 유도전동기의 고성능 제어

최정식(Jung-Sik Choi),고재섭(Jae-Sub Ko),김길봉(Kil-Bong Kim),정동화(Dong-Hwa Chung) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.10

This paper presents Hybrid-PI controller of induction motor drive using fuzzy control. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness, fixed gain PI controller, Hybrid-PI controller proposes a new method based self tuning PI controller. Hybrid-PI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of induction motor are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

퍼지 PI+D 제어기의 절계변수와 제어가 이득 자기동조에 관한연구

장철수,전정수,황준석,채석 금오공과대학교 2005 論文集 Vol.26 No.-

This paper describes the design of the Proportional-Integral(PI) plus a Derivative(D) controller using self-tuning of the design variables and controller gains. First, the fuzzy PI+D controller is derived from the conventional continuous time linear PI+D controller. Then, the fuzzification, control-rule base, and defuzzification in the the fuzzy controller are discussed in detail. The resulting controller .is a discrete time fuzzy version of the conventional PI+D controller, which has the same linear structure, but is nonlinear functions of the input signals. The proposed controller enhances the self-tuning control capability, particularly when the process to be controlled is nonlinear. When the fuzzy PI+D controller is applied. First, the fuzzy inference results can be calculated with splitting fuzzy variables into each action component and are determined as the functional form of corresponding design variables and adjust controller gains. So the proposed method has the capability of the high speed inference and can be adapted to increasing the number of the fuzzy input variables easilly and has the advantage to reduce a reconstruction(digital sampling reconstruction) error. This controller has better efficiency and improvement by using a design variables and controller gains. 이 논문에서는 설계변수와 제어기 이득의 자기 동조를 사용하는 PI+D 제어기 설계에 대하여 기술한다. 사용된 퍼지 PI+D 제어기는 일반적인 연속 시간 선형 PI+D 제어기를 근사화하여 사용하였고 퍼지화는 퍼지싱글톤으로, 비퍼지화는 간략화된 무게중심법을 사용하였다. 제안된 제어기는 제어대상이 비선형일 때 자기 동조 성능이 개선된다. 퍼지 PI+D 제어기가 적용되면 퍼지추정 결과는 분리된 퍼지 변수로서 다른 작용 성분으로 계산되고, 그 결과는 설계변수에 해당히는 함수의 형태로 결정되어 제어이득을 결정한다. 따라서 제안된 방법은 빠른 속도 추정의 성능을 가지며, 퍼지 입력변수의 증가에도 쉽게 적용될 수 있고, 재생 오차를 줄이는 이점을 가진다. 이 제어기는 설계변수와 제어기 이득의 사용으로 보다 높은 효율성과 개선점을 가지고 있다.

복소 벡터 동기좌표계 비례 적분 전류 제어기의 안티 와인드업 이득 설정

유현재,정유석,설승기 전력전자학회 2006 전력전자학회 논문지 Vol.11 No.5

This paper presents an anti-windup gain selection method for a complex vector synchronous frame PI current controller. The complex vector PI current controller is more robust to the parameter variation than the state feedback decoupling PI current controller. The complex vector PI current controller also includes an integral term, which can results in windup problem when the controller is saturated due to physical limitation of the system. Furthermore, even an anti-windup is utilized, inappropriate gain can deteriorate the performance of the current controller. Therefore, appropriate anti-windup gain selection method for a complex vector current controller has been proposed based on the mathematical description of the current control system. The superior performance of the current control system with the proposed anti-windup gain has been verified by the experimental results. 본 논문에서는 복소 벡터 동기 좌표계 비례 적분(PI) 전류 제어기의 안티 와인드업(anti-windup)이득 설정에 대해 논의한다. 복소 벡터 동기 좌표계 비례 적분 전류 제어기는 시스템 제정수 변동에 기존의 비례 적분 전류 제어기 보다 더 강인한 특성을 보인다. 복소 벡터 전류 제어기 역시 적분기를 포함하고 있으며, 엑츄에이터(actuator)의 물리적인 한계로 전압이 포화되는 경우에는 안티 와인드업이 필요하게 되고, 적절치 못한 안티 와인드업 이득 설정은 제어 시스템의 동특성을 저하시킬 수 있다. 따라서 복소 벡터 동기 좌표계 비례 적분 전류 제어기에 적합한 안티 와인드업 이득을 제안하였고, 제안된 알고리즘의 유효성은 실험을 통하여 검증하였다.

직류 전동기 속도 제어에서 PI 제어기보다 우수한 퍼지 논리 제어기의 이득 선정을 위한 연구

김영렬(Young-Real Kim) 한국조명·전기설비학회 2014 조명·전기설비학회논문지 Vol.28 No.6

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 Design of PI + Approximation 2 Degree of Freedom Cascade Controller for Vertical Coupled Liquid Tank System

S. Mangkalajan,W. Koodtalang,T. Sangsuwan,C. Deelertpaiboon,K. Jirasereeamornkul 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11

This paper presents the proportional-integral (PI) plus approximate 2 degrees of freedom (A2DOF) controller, which is compared to cascade PI+PI controller and PI+PID controller, applying to the vertical coupled liquid tank system to observe their performances. The cascade control has an inner loop for the liquid level control of tank#1 that can make a faster response. There also is an outer loop for controlling the liquid level of tank#2 that can make the slower response. The performances of PI+PI, PI+PID, and PI+A2DOF controllers were experimentally compared. It can be noticed that the PI+A2DOF controller gives more improved performance than PI+PI and PI+PID controllers. The PI+A2DOF has an overshoot of about 0.8% of the input with a settling time of about 20sec, which is better than two time of a dual controller. In the sudden setpoint change, the PI+A2DOF controller spent time in the new setpoint about 15sec that, faster than two times of both compared controllers without overshoot. The fact and experimental results demonstrate the usefulness and practicality of our method.

Hybrid Stepper Motor: Model, Open-loop Test, Traditional PI, Optimized PI, and Optimized Gain Scheduled PI Controllers

B. Keerthi Priya,D. Akhila Reddy,Wasim Ghder Soliman,A. Daisy Rani,D. V. Rama Koti Reddy,Wasim Ghder Soliman 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12

In this paper, a hybrid stepper motor (HSM) model, open-loop control and closed-loop control are explained. To overcome the stepping nature of the HSM open-loop configuration, the closed-loop control is an essential task and is obtained with the help of the HSM mathematical model. Effective closed-loop control strategies are performed based on the field oriented control (FOC) after performing a Park transform. Those strategies are optimized PI controller and optimized gain scheduling PI controller in which the controller’s parameters are tuned optimally using a particle swarm optimization algorithm (PSO) with the integral absolute error (IAE), integral time absolute error (ITAE), and integral time square error (ITSE) performance indexes mean value as an objective function. Additionally, operation under no-load and loaded conditions are tested and compared with the traditional PI controller. The obtained results show that, under loaded conditions, the optimized gain scheduling PI controller gives better performance due to its adaptive nature.

퍼지 PI 제어기를 사용한 BLDC 제어 응답특성

윤용호(Yong-Ho Yoon),김재문(Jae-Moon Kim),김덕헌(Duk-Heon Kim),원충연(Chung-Yuen Won) 대한전기학회 2011 전기학회논문지 Vol.60 No.10

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.

Genetically optimized self-tuning Fuzzy-PI controller for HVDC system

왕중선(Zhongxian Wang),양정제(Juengje Yang),안태천(Taechon Ahn) 대한전기학회 2006 정보 및 제어 심포지엄 논문집 Vol.2006 No.1

In this paper, we study an approach to design a self-tuning Fuzzy-PI controller in HVDC(High Voltage Direct Current) system. In the rectifier of conversional 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. The above problems are solved by adapting Fuzzy-PI controller for the fire angle control of rectifier.[7] 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 the optimal scaling factors of the Fuzzy-PI controller by Genetic Algorithms. In order to improve Fuzzy-PI controller, we adopt FIS to tune the scaling factors of the Fuzzy-PI controller on line. A comparative study has been performed between Fuzzy-PI and self-tuning Fuzzy-PI controller. to prove the superiority of the proposed scheme.

퍼지 PI 제어기를 이용한 풍력/디젤 하이브리드 발전시스템의 품질제어

양수형,고정민,부창진,강민제,김정욱,김호찬 한국태양에너지학회 2012 한국태양에너지학회 논문집 Vol.32 No.5

This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. Wind turbine depends on nature such as wind speed. It causes power fluctuations of wind turbine. Excessive power fluctuation at stand-alone power grid is even worse than large-scale power grid. The proposed control scheme for power quality is fuzzy PI controller. This controller has advantages of PI and fuzzy controller. The proposed model is carried out by using Matlab/Simulink simulation program. In the simulation study, the proposed controller is compared with a conventional PI controller. Simulation results sho66w 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.

하이브리드 제어기를 사용한 유도전동기 벡터제어

류경윤,이홍희 전력전자학회 2000 전력전자학회 논문지 Vol.5 No.4

벡터제어기법은 유도전동기의 고성능 운전을 위해 널리 사용되고 있다. 벡터제어기법을 사용해 전동기의 속도제어를 행할 정우 전동기의 속도나 전류를 제어하기 위해 주로 PI제어기가 사용되고 있다. 이 경우 유도전동기의 동 특성은 PI제어기의 이득과 밀접한 관계를 갖고 있으며 유도전동기의 고성능제어를 위해서는 PI제어기의 이득을 최적화 시킬 필요가 있다. 그러나 PI제어기의 이득을 최적화 시키기 위해서는 전동기제이 시스템의 등가모델을 정확히 알아야 하기 때문에 변동 부하조건하에서 일관성 있는 최적 이득값을 얻기란 대단히 힘들다. 본 논문에서는 이러한 PI제어기의 단점을 보완하기 위해 과도상태만을 제어하기 위한 간략화된 퍼지제어기와 정상상태 제어를 위한 기존의 PI제어기를 병렬로 구성한 하이브리드 제어기를 제안하고 이를 실제 유도전동기의 벡터제어에 적용하여 알고리즘의 타당성을 검증하였다. The vector control scheme is usually applied to the high performance induction motor drives. The PI controller is adopted traditionally to control the motor speed and currents in the vector control scheme. In this case, the dynamic performance of the induction motor is dependent on the PI gains and the gain optimization is necessary in order to get a good dynamic performance. But, it is very hard to optimize the PI gains uniquely within the speed control range because the equivalent model of the motor control system should be known exactly. In this paper, we propose the hybrid control scheme to remove the defects of PI controller. The hybrid control scheme includes the simplified fuzzy controller which operates in the transient state and the PI controller which operates in the steady state. The proposed scheme is applied to the vector control for induction motor, and the digital simulation and the experimental results are given to verify the proposed scheme.