• Title/Summary/Keyword: Self-tuning Control

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A study on self tuning of indirect vector controller of induction motor (유도전동기 간접벡터제어기의 자기동조에 관한 연구)

  • 임재우;한권상;전호인
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1056-1059
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    • 1996
  • In this paper, we analyzed the effect of the change of the rotor time constant on the performance of the indirect vector control system. By employing indirect field orientation technique, we have also suggested an optimal control algorithm that allows an induction motor to maintain the maximum torque under the changing environment of rotor time constant. A computer simulation on the transient response of the output torque was demonstrated. To verify the validity of the method that has been proposed in this paper, an experiment has been performed utilizing TMS32OC31(40MHz) DSP chip which is capable of performing floating-point arithmetic in real time.

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Design of digital controller of six degree of freedom industrial robot using 16 bit CPU and modula-2 language (16 bit CPU와 Modula-2 언어를 사용한 6측 산업용 로보트의 디지탈 제어기 제작에 관한 연구)

  • 이주장;김양한;윤형우
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10b
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    • pp.10-13
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    • 1987
  • The main work of this paper are the manufacture of six degree of freedom industrial robot control hardware of 16 bit CPU and the development of five motion control software. The work would draw on KIT of Robotics Laboratory whose extensive experience in these areas; in particular the 68000 assembler and Modula-2 languages, and existing robot control systems. We found that this controller is good for the robot controller of PID types. But, for the use of self-tuning algorithms and real time calculations we need 32 bit CPU robot controller such as MC 68020 microprocessor.

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Current Control of DC Motor using Software Bang-Bang Algorithm (Software Bang-Bang Algorithm을 이용한 DC Motor 전류제어)

  • Bae, Jong-Il;Jung, Dong-Ho
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.2 no.4
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    • pp.88-94
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    • 2003
  • The DC motor has the strong characteristics in the speed response, the system parameter variations and the external influence and is used as the speed controller with its good starting torque in the distributing industry. However development of the Microprocessor which is for high speed switching program can make better control system. This paper introduce to design of the high-effective DC motor controller that is using Software Bang-Bang Program of Fuzzy algorithm and to verity a PI controller and a Fuzzy controller.

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Combination of Evolution Algorithms and Fuzzy Controller for Nonlinear Control System (비선형 제어 시스템을 위한 진화 알고리즘과 퍼지 제어기와의 결합)

  • 이말례;장재열
    • Journal of the Korea Society of Computer and Information
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    • v.1 no.1
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    • pp.159-170
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    • 1996
  • In this paper, we propose a generating method for the optimal rules for the nonlinear control system using evolution algorithms and fuzzy controller. With the aid of evolution algorithms optimal rules of fuzzy logic system can be automatic designed without human expert's priori experience and. knowledge. and ran be intelligent control. The approachpresented here generating rules by self-tuning the parameters of membership functions and searchs the optimal control rules based on a fitness value which Is tile defined performance criterion. Computer simulations demonstrates the usefulness of the proposed method In non -linear systems.

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Adaptive Control by the Fusion of Genetic Algorithms and Fuzzy Inference on Micro Hole Drilling (미세드릴가공에 있어서 유전알고리즘과 퍼지추론의 합성에 의한 적응제어)

  • Paik, In-Hwan;Chung, Woo-Seop;Kweon, Hyeog-Jun
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.9
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    • pp.95-103
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    • 1995
  • Recently the trends toward reduction in size of industrial products have increased the application of micro drilling. But micro drilling has still much difficulty so that the needs for active control which give adaptation to controller are expanding. In this paper initial cutting condition was determined for some sorkpieces by experiment and GA-based Fuzzy controller was devised by genetic algorithms and fuzzy inference. The fuzzy inference has been applied to the various prob- lems. However the determination of the membership function is one of the difficult problem. So we introduce a genetic algorithms and propose a self-tuning method of fuzzy membership function. Based on this intelligent control, automation of micro drilling was carried out like the cutting process of skilled machinist.

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Optimal Design of a Hybrid Structural Control System using a Self-Adaptive Harmony Search Algorithm (자가적응 화음탐색 알고리즘을 이용한 복합형 최적 구조제어 시스템 설계)

  • Park, Wonsuk
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.31 no.6
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    • pp.301-308
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    • 2018
  • This paper presents an optimal design method of a hybrid structural control system considering multi-hazard. Unlike a typical structural control system in which one system is designed for one specific type of hazard, a simultaneous optimal design method for both active and passive control systems is proposed for the mitigation of seismic and wind induced vibration responses of structures. As a numerical example, an optimal design problem is illustrated for a hybrid mass damper(HMD) and 30 viscous dampers which are installed on a 30 story building structure. In order to solve the optimization problem, a self-adaptive Harmony Search(HS) algorithm is adopted. Harmony Search algorithm is one of the meta-heuristic evolutionary methods for the global optimization, which mimics the human player's tuning process of musical instruments. A self-adaptive, dynamic parameter adjustment algorithm is also utilized for the purpose of broad search and fast convergence. The optimization results shows that the performance and effectiveness of the proposed system is superior with respect to a reference hybrid system in which the active and passive systems are independently optimized.

Power System Stabilization using Self Tuning Fuzzy Controller (자기조정 퍼지제어기에 의한 전력계통 안정화에 관한 연구)

  • Chung, H.H.;Chung, D.I.;Joo, S.M.;Koh, H.S.
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.48-50
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    • 1994
  • In this paper, the optimal fuzzy controller of exciter and governor in synchronous generator improve the stability of power system with varying loads and disturbances in power system. Parameters of the proposed fuzzy controller were optimally self-tuned by the steepest descent method and were applied to power system stabilization. The related simulation results show that the proposed control technique are more powerful than the conventional ones for reductions of undershoot and for minimization of settling time.

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Implementation of Sinusoidal Rotatory Chair System with Fuzzy Rule Base (Fuzzy Rule Base에 의한 Sinusoidal Rotatory Chair System의 구현)

  • Cha, In-Su;Park, Hae-Am;Baek, Hyung-Lae
    • Proceedings of the KIEE Conference
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    • 1994.07a
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    • pp.582-584
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    • 1994
  • A sinusoidal rotatory chair system using a self-tuning and following control by a fuzzy was designed to evaluate the vestibular function and to apply to a robot driving power system. The experimental results by the sinusoidal rotatory chair system were pretty good and whitch had smaller then ${\pm}210$ pulse error on the ${\pm}810^{\circ}$ sinusoidal rotation at 0.12 Hz by using a 850W DC servo motor. As a results, the sinusoidal rotatory chair system may be useful to evaluate the vestibular function in the field of medicine, and it can be used to robotics or a numerical control system (NC) on the industry if the the obtained control method and the system are adapted for a channel.

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A Study on a Current Controller using TMS320F240 Microprocessor (TMS320F240 마이크로프로세스를 이용한 전류제어기 연구)

  • Bae, Jong-Il
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.9
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    • pp.1380-1384
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    • 2015
  • The DC motor has the strong characteristics in the speed response, the system parameter variations and the external influence and is used as the speed controller with its good starting torque in the distributing industry. However development of the Microprocessor which is for high speed switching program can make better control system. This paper introduce to design of the high-effective DC motor controller that is using Software Bang-Bang Program of Fuzzy algorithm and to verify a PI controller and a Fuzzy controller.

Reduced variance implicit self-tuning a;gorithm with variable time-delays for robot manipulator (로보트 매니풀레이터의 시변 지연 시간을 고려한 분산 감소 임플리시트 자기동조 알고리즘)

  • 이희진;박민용;이상배
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.12-15
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    • 1988
  • A controller described in this paper is designed for implicit generalised minimum varience controller with variable time delays in which the weighting polynominals are calculated to reduce the output and control signals variances. This paper is based on the fact that the pole-assigment equation may have multiple solutions if the weighting polynominals are not of minimal order. It is shown that the larger order of the weighting polynominals increment the better is the stochastic behavior of the closed-loop system with variable time delays without changs in the deterministic behavior of the system. Based on this theory, the controller is applied to position control of a three-link manipulater with parameter uncertainty.

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