병렬 구조를 갖는 퍼지-PID 제어기 설계

추연규,강신철 진주산업대학교 2000 論文集 Vol.39 No.-

In this paper, a parallel structure of fuzzy-PID control systems is proposed, It is associated with a new tuning method which, based on gain margin and phase specifications, determines the parameters of the fuzzy-PID controller. In comparison with conventional PID controllers, the proposed fuzzy-PID controller shos higher control gains when system states are away from equilibrium and, at the same time, retains a lower profile of control signals. Consequently, better control performance is achieved. With the proposed formula, the weighting factors of a fuzzy logic controller can be systematically selected according to the plant under control. By virtue of using the simplest structure of fuzzy logic control, the stability of the nonlinear control system can be analyzed and a sufficient BIBO stability condition is given. The superior performance of the proposed controller is demonstrated through a simulation example.

챠량의 엔진모델 설계 및 정속주행 시뮬레이션

추연규,탁한호,이천효 진주산업대학교 1999 論文集 Vol.38 No.-

This paper proposes a design of engine model to be mounted on a power train of vehicle and a simulation is carried out in a straight road for the engine's Intelligent Cruise Control. The designed engine model of vehicle uses Matlab simulink. The simulation results of the Fuzzy Controller compared with those of the PID Controller.

2자유도 PID 제어기의 파라미터 α 추종을 이용한 2관성 시스템의 진동억제

추연규,김현덕 진주산업대학교 2004 論文集 Vol.43 No.-

A torque transmission system composed of several gears and couplings is flexible. In order to get an exact response of motor, the torsional vibration due to an unexpected change of motor speed must be suppressed. Therefore, it is very important that motor control suppress vibration. Various methods to control it including dual inertia system are proposed. Specially, the method of vibration suppression is that vibration can be suppressed to feedback the estimated torsion torque via the disturbance observer filter being of normal filter. The suitable Proportional controller and coefficient parameter can be designed using CDM and the torsional vibration also be suppressed, but it has a low degree of adaptability to disturbance. The PID controller can be designed easily, but makes the excessive overshoot and oscillation for system response in the early period. To resolve these problems, simple and practical PID controller with two degree of freedom is proposed recently that it can improve performance of obeying the reference unconcerned in any disturbance by changing the proportional gain by two degree of freedom parameter. But it has also the defect that parameter α must be changed to obtain the ideal Proportional parameter. On this paper, we design the controller which automatically adjusts parameter α using Fuzzy Algorithm to overcome such defects.Also, we compare the proposed method with established one and evaluate them to confirm performance of the designed controller.

퍼지-신경망 제어기를 이용한 DC Motor의 속도제어에 관한 연구

秋淵圭,卓漢浩 진주산업대학교 1997 論文集 Vol.36 No.-

The construction of rule-base for a nonlinear time-varying system becomes much more complicated because of model uncertainty and parameter variation. Futhermore, fuzzy controller is not able to adjust the rule-base with according to any sudden changes of the control environment. To overcome such problems, an auto-tuning method for fuzzy rule-base is required. In this paper, we design the fuzzy-neural network controller. In order to evaluate the performance of the controller, this system was applied to the speed control of a DC servo motor. The proposed controller shows better performance than the conventional fuzzy controller through the hardware implementation.

트럭-트레일러의 자율주차 제어 시스템에 관한 연구

추연규,박희경 진주산업대학교 1999 論文集 Vol.38 No.-

In this paper, an auto-parking control system of truck-trailer is simulated using predictive fuzzy algorithm. The forward and backward dynamic equation of truck-trailer is used to design a predictive fuzzy controller and plant. With the porposed algorithm, the simulation revealed that truck-trailer was parked well in the parking area.

비행 자세제어를 위한 퍼지제어기 설계

추연규,김현덕,박종오 진주산업대학교 산업과학기술연구소 2003 산업과학기술연구소보 Vol.- No.10

The forces and moments at the aircraft c.g. have components due to aerodynamic sffects and to engine thrust. For the flight stability and autopilot systems we present a attitude control method using an intelligent control algorithm Which is based on the control rules from experts knowledge concerning the motion equations and other experiences. Then a robust fuzzy cintroller is developed to control the flight attitude. The controller can deal with multiple inputs and outputs. We have made an aircraft model and the orientation sensor for experimental fights. The control rules based on the flight expert's experience and knowledge can be programmed by fuzzy rules, and determined control rules by experimental flight. We can be stable attiude control by fuzzy controller.

퍼지-신경망을 이용한 유연성 로봇 매니퓰레이터의 위치제어에 관한 연구

추연규,탁한호 진주산업대학교 1999 산업과학기술연구소보 Vol.- No.6

This paper presents position control of flexible single link robot manipulator system by fuzzy neural networks model. After the function of approximation using GMDP(Generalized Multi-Denderite Product) neural networks for defuzzification operation of fuzzy controller, a fuzzy-neural network controller is proposed. Therefore, a dynamic models for a flexible robot manipulator is derived, and then a comparative analysis was made with PD controller through an simulation. The results are presented to illustrate the advantages and improved performance of the proposed controller over the PD controller.

카오스 퍼지 보상 알고리즘을 이용한 전력수요 단기예측에 관한 연구

김현덕,추연규 진주산업대학교 2004 論文集 Vol.43 No.-

The estimation of electrical power consumption is becoming more important to supply stabilized electrical power recently. In this paper, we propose a supplied forecasting system of electrical power using Fuzzy Compensative Algorithm to estimate electrical load accurately than the previous. We evaluate a time series of supplied electrical power have the chaotic character using quantitative and qualitative analysis, compose a forecasting system by the maximum change rate(α) of Fuzzy Algorithm and compensative parameter. Simulating it for obtained time series, we can take more accurate results than the previous proposed system.

마이크로 콘트롤러를 사용한 극배치 PID 자기동조기의 구성

하재해,추연규,임영도,최부귀 동아대학교 공과대학 부설 한국자원개발연구소 1993 硏究報告 Vol.17 No.2

In this paper, a speed controller using one-chip microcontroller is implemented and applied to a DC Servo Motor. Adaptive control is applied to a system for which a priori knowledge to its mathematical model is insufficient, on the basis of input and output data an apropriate controller is constructed through which the system input is synthesized. The pole-placement PID self tuning control algorithms as a control algorithm is used to research the performance of the controller through experiments.

회전 역진자의 위치제어를 위한 적응 퍼지-신경망 제어기의 설계

탁한호,추연규 진주산업대학교 농업기술연구소 2000 農業技術硏究所報 Vol.13 No.-

In this paper, an position control method using adaptive fuzzy-neural controller(AFNC) is proposed for modeling of nonlinear complex systems. The proposed adaptive fuzzy-neural controller implements system structure and parameter identification using the intelligent schemes together with optimization theory, linguistic fuzzy implication rules, and neural networks from input and output data of processes. Inference type for this adaptive fuzzy-neural controller is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of adaptive fuzzy-neural controller are tuned automatically using improved modified complex method and modified leaning algorithm. For the purpose of its application to nonlinear processes, data for rotating inverted pendulum system ar used for the purpose of evaluating the performance of the proposed adaptive fuzzy-neural controller. The results show that the proposed method can produce the intelligence model with higher accuracy than other works achieved previously.