• The Transactions of the Korean Institute of Electrical Engineers
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• v.35 no.10
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• pp.427-437
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• 1986

Identification of the plants is not easy task especially in the fields of process control. From this point of view, Kitamori developed a method of control system design based on partial knowledge about controlled processes. However, it is difficult to control the oscillatory plant by kitamori's method. In this paper, we develope a method of partial model matching control system design, which have desirable pole-placements in order to improve the above defects. Design examples are given to illustrate the effectiveness of the method.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.145-148
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• 2000

근래 퍼지 제어 시스템의 설계는 대부분 Takagi-Sugeno 퍼지 모델에 기반하여 행해지고 있다. 이러한 TS퍼지 모델은 각 규칙의 결론부에 선형 상태 방정식의 형태를 위하고 있는데 각각의 상태 방정식은 원 비선형 시스템으로부터 얻어지고 있다. 하지만 시스템이 복잡해지고 비선형성이 강하면 TS퍼지 모델을 얻는데도 어려움이 따른다. 이에 본 논문에서는 TS퍼지 모델을 얻기 위한 한가지 방법을 제안한다. 먼저 시스템을 선형항과 비선형항으로 나누어 비선형항을 선형화하여 퍼지 모델화 하는 일련의 과정에 한가지 법칙을 도입하게 된다. 이렇게 얻어진 퍼지 모델을 기반으로 한 제어에는 많은 연구가 있었으며 본 논문에서는 극배치 방법을 이용한다. 마지막으로 모의 실험을 통하여 제안된 방법의 효용성을 검증한다.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.75-76
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• 2008

이산시간 모델로부터 시간응답 설계 명세를 만족시키도록 직접 디지털 제어기를 설계하는 새로운 방법을 제시한다 R-S-T형의 고정된 제어기 구조에서 폐루프 전달함수가 원하는 기준전달함수와 일치하도록 제어기 이득을 구한다. 시간 응답을 만족시키는 목표전달함수는 w-영역에서 CRA를 이용하여 선택되며 이 함수를 z-영역으로 변환시켜 얻는다. 예제를 통해 제시한 방법의 유용성을 보이고 극배치 방식과 비교한다.

• Proceedings of the KIEE Conference
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• 1989.11a
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• pp.383-387
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• 1989

In this paper, an adaptive algorithm for processes with unmeasured deterministic disturbances is presented. This algorithm is simple to synthesize an adaptive controller with desired pole/zero assignment. The internal stability requirement is achieved so that this algorithm can easily handle any minimum or non-minimum phase system. Some simulations are given to show the applicability of this approach.

• Proceedings of the KIEE Conference
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• 1989.11a
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• pp.355-359
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• 1989

An inverted pendulum is made practically and controlled by optimal controller and pole placement controller. An IBM PC/XT plays a part of the controller. The control algorithm is implemented with C language. An integrator is added to the controller to solve the high frequency problem. Experiment is performed according to the results of simulation.

• Proceedings of the KIEE Conference
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• 1989.11a
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• pp.388-392
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• 1989

In this paper, an adaptive pole-zero placement algorithm which has disturbance rejection properties is proposed. This method using the internal model principle is shown to reject the disturbances asymptotically. Furthermore, a method which reduces the number of estimated parameters is proposed. Some simulation results are given to demonstrate the performance of the algorithms.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.50-53
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• 1988

This paper presents an approach to the position control of a robot manipulator by using a self-tuning pole-placement controller with an inverse model. The linearized independent difference equations of manipulator motion are obtained, and the parameters of these models are estimated on line. The controller is composed of two parts, the primary controller obtains desired torques by using an inverse model and the secondary controller computes variational torques on the basis of induced perturbation equations by minimizing a quadratic criterion with a closed-loop pole-placement. Simulation is performed to demonstrate the effectiveness of this approach.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.90-94
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• 1986

This paper describes expansion of the state space pole assignment self-tuning control of SISO systems with system noise and abservation noise to that of MIMO systems. Resursive Prediction Error method is used for both parameter and state estimation in the block controllable canonical form. This simplifies the state feedback law by eliminating the online computation of transformation matrix.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.179-181
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• 1987

In this paper, a self-tuning controller design is proposed by using pole-zero placement method and considering a system time delay. To got better tracking for the generalized self-tuning controller, pole placement method for the closed loop system and zero placement method for the error transfer function are Introduced. The proposed method shows better efficiency than pole placement method for minimizing tracking error. Simulation gives good results in tie reference signal tracking.

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.51-54
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• 1990

A parametrization for a linear system is presented to design a direct model reference adaptive pole placement controler. This parametrized model is one of the structured nonminimal models. The exponentially weighted least-squres algorithm is employed to estimate the control parameters. The direct adaptive controller has the exponential weighting properties by the proposed method of selecting the characteristic polynomials of the sensitivity function filters in connection with the reference models.