• 한국전산유체공학회지
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• 제19권2호
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• pp.86-92
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• 2014

In this paper, prediction of separation trajectory for Two-stage-To-Orbit space launch vehicle has been numerically simulated by using an aerodynamic database based on steady state analysis. Aerodynamic database were obtained for matrix of longitudinal and vertical positions. The steady flow simulations around the launch vehicle have been made by using a 3-D RANS flow solver based on unstructured meshes. For this purpose, a vertex-centered finite-volume method was adopted to discretize inviscid and viscous fluxes. Roe's finite difference splitting was utilized to discretize the inviscid fluxes, and the viscous fluxes were computed based on central differencing. To validate this flow solver, calculations were made for the wind-tunnel experiment model of the LGBB TSTO vehicle configuration on steady state conditions. Aerodynamic database was constructed by using flow simulations based on test matrix from the wind-tunnel experiment. ANN(Artificial Neural Network) was applied to construct interpolation function among aerodynamic variables. Separation trajectory for TSTO launch vehicle was predicted from 6-DOF equation of motion based on the interpolated function. The result of present separation trajectory calculation was compared with the trajectory using experimental database. The predicted results for the separation trajectory shows fair agreement with reference[4] solution.

• Journal of Advanced Marine Engineering and Technology
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• 제17권5호
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• pp.44-53
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• 1993

In this paper, we discuss on the control algorithm to make the wheeled inverse pendulum type mobile robot move in two dimensional plane. The robot considered in this paper has two independently driven wheels in same axel which suport and move it-self, and is assumed to have the fyro type sensor to know the inclination algle of the body and rotary encoders to know wheel's rotation angular velocity. The control algorithm is divided into three parts. The first part is for the posture and velocity control for forward-backward direction, the second is the steering control, and the last part is for the control of total system to track the given trajectory. We handle the running velocity control of the robot as part of the posture control to keep the balance because the posture relates deeply with the velocity and can be controlled by the velocities of the wheels. The control problem is analyzed as the tracking control, and the controller is realized with the state feedback and feed-forward of the reference velocity. Constructing the control system which contained one intergrator in forward path, we also realized the control system without observer for the estimation of the accumulated errors in the inclination angle of the body. To prevent the robot from being unstable state by sudden variation of the reference velocity when it starts and stops, or changes velocity, the reference velocity of which acceleration is slowly changing, is ordered to the robot. To control its steering, we give the different reference velocities for both wheels which are calculated from the desired angular velocity of the body. Finally, we presents the experimental results of the experimental robot Yamabico Kurara in which the proposed control algorithm had been implemented.

• Journal of Welding and Joining
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• 제14권1호
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• pp.99-106
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• 1996

Development of an automatic TIG welding system incorporating a vision sensor and torch control mechanism leads to an improved welding quality and greater production efficiency. The automatic welding system should be greatly restricted in its size and weight for the LNG(Liquefied Natural Gas) storage tank and also provide a unique torch rotating mechanism which keeps the torch tip in the constant position while the angle is changed continuously to maintain the welding torch substantially perpendicular to the weld line. The developed system is driven by two translation axes X, Z and one rotational axis. A moving line window method is adopted to the image recognition of the corrugated membranes with specular reflection. This method decides original laser stripe patterns in image which is affected by multi-reflection. A self-teaching algorithm, which guides the automatic welding machine with the information provided by the CCD camera without any previous learning of a reference trajectory, was developed for tracking the corrugated membrane of the LNG tank along the weld line.

• 한국컴퓨터산업학회논문지
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• 제5권9호
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• pp.993-1004
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• 2004

본 논문에서는 구동토크의 제약을 갖는 4륜 2자유도 구륜이동로봇의 기구학 및 동력학 모델링과 경로추적을 다룬다. 유도된 기구학 모델을 이용하여 구륜이퐁로봇의 가제어성을 조사한다. 순간일치좌표계와 힘/토크의 전파, 뉴튼의 평형법칙을 이용하여 동려학 모델을 유도한다. 역동력학에 의해 산출된 구동토크가 한계 구동토크를 초과할 경우, time-scaling 기법을 이용하여 기준제적을 수정함으로써 구륜이동로봇이 기준경로를 추적하도록 한다. 제어기는 모델링 불확실성과 측정 잡음 등으로 인하여 발생하는 오차를 보상하도록 설계한다. 또한 본 논문에서 제시된 기법의 유효성을 입증하기 위해 모의실험을 수행하고 그 결과를 제시한다.

• 한국군사과학기술학회지
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• 제18권2호
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• pp.181-188
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• 2015

This paper present, the result of the guidance and control law for a course correction munitions(CCM) with 2sets of canards positioned in the rotating nose section. The nonlinear simulation model of the CCM was developed based on 7DOF equation of motion. The ability of correcting position was verified by open-loop control input with nonlinear model. The guidance and control command was constructed by reference trajectory which can be obtained with no control. Finally, the performance of the guidance and control law was evaluated through Monte-carlo simulation. The CEP(Circular Error Probability) was obtained by considering the errors in muzzle velocity, aerodynamic coefficient, wind, elevation and azimuth angle and density.

• 로봇학회논문지
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• 제18권4호
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• pp.496-504
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• 2023

This paper recognizes the motion intention of the wearer using a muscle stiffness sensor and proposes a control system for a wearable robot based on this. The proposed system recognizes the onset time of the motion using sensor data, determines the assistance mode, and provides assistive torque to the hip flexion/extension motion of the wearer through the generated reference trajectory according to the determined mode. The onset time of motion was detected using the CUSUM algorithm from the muscle stiffness sensor, and by comparing the detection results of the onset time with the EMG sensor and IMU, it verified its applicability as an input device for recognizing the intention of the wearer before motion. In addition, the stability of the proposed method was confirmed by comparing the results detected according to the walking speed of two subjects (1 male and 1 female). Based on these results, the assistance mode (gait assistance mode and muscle strengthening mode) was determined based on the detection results of onset time, and a reference trajectory was generated through cubic spline interpolation according to the determined assistance mode. And, the practicality of the proposed system was also confirmed by applying it to an actual wearable robot.

• 융합신호처리학회논문지
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• 제8권4호
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• pp.297-306
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• 2007

모델 기준 제어(MRC)는 플랜트가 주어진 기준 모델의 거동을 추종하도록 플랜트를 제어하는 제어 기법이다. 기준 모델은 플랜트가 추종할 이상적인 궤적을 제공한다. 지금까지 많은 종류의 MRC가 제안되었지만, 본 논문에서는 모델 기준 슬라이딩 모드 제어(MRSMC)에 대해 제어 대상 플랜트가 불확실성을 갖는 단일 입출력 2차 시변 선형 시스템인 경우에 대해 연구를 수행하였다. 본 논문에서 MRSMC를 위한 기준 모델의 설계 방법이 제안하였다. 제안된 방법은 제한된 제어 입력, 기준 입력, 시스템 파라미터에 대한 정보를 사용하여 기준 모델을 선정한다. 이러한 선정 결과는 고정된 기준 모델의 선정, 계단 입력 인가시의 가변 기준 모델 갱신, 매 샘플링 시간마다 순간 기준 모델의 갱신 등으로 이용할 수 있다. 모터의 위치 제어 시스템에 대한 시뮬레이션 결과는 제안된 방법의 효용성을 보여준다.

• 한국정보통신학회논문지
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• 제21권2호
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• pp.265-276
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• 2017

본 논문에서는 하중 적분 PDC 제어 기법과 T-S 퍼지 외란 관측기를 이용한 강인하면서도 보다 정확한 이동 로봇의 궤도 추적 제어 방법을 제안한다. 하중 적분 PDC 제어 기법은 PDC 제어 기법에 하중 적분 항을 추가함으로써 정상상태 오차를 감소시켜 준다. T-S 퍼지 외란 관측기는 T-S 퍼지 모델로 표현된 비선형 시스템에 대해 외란을 추정하고 상쇄시킬 수 있도록 한다. 따라서, T-S 퍼지 외란 관측기에 기반한 궤도 추적 제어기는 강인한 궤도 추적 성능을 보여준다. 또한, 본 연구에서는 $B\acute{e}zier$ 곡선에 의한 가속도 제한을 갖는 경로 설계 방법에 의해 초기 접근 경로를 설계함으로써, 이동 로봇의 초기 위치가 기준 궤도의 초기 위치와 다를 때 제어 입력이 매우 커지게 되어 실제적으로 사용할 수 없게 되는 문제를 해결한다. 제안된 궤도 추적 제어기의 성능을 시뮬레이션을 통해서 입증하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.698-701
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• 1996

A novel neural network control scheme is proposed to identify the inverse dynamic model of robot manipulator and to compensate for uncertainties in robot dynamics. The proposed controller is called reference compensation technique(RCT) by compensating at reference input trajectory. The proposed RCT scheme has many benefits due to the differences in compensating position and learning algorithm. Since the compensation is done outside the plant it can be applied to many control systems without modifying the inside controller. It performs well with low controller gain because the operating range of input values is small and the output of the neural network controller is amplified through the controller gain. The back-propagation algorithm is used to train and simulations of three link robot manipulator are carried out to prove the proposed controller's performances.

• 제어로봇시스템학회논문지
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• 제10권4호
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• pp.341-349
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• 2004

In this paper, the decentralized neural network control of the reference compensation technique is proposed to control a 2-DOF inverted pendulum on an x-y plane. The cart with the 2-DOF inverted pendulum moves on the x-y plane and the 2-DOF inverted pendulum rotates freely on the x-y axis. Since the 2-DOF inverted pendulum is divided into two 1-DOF inverted pendulums, the decentralized neural network control is applied not only to balance the angle of pendulum, but also to control the position tracking of the cart. Especially, a circular trajectory tracking is tested for position tracking control of the cart while maintaining the angle of the pendulum. Experimental results show that position control of the inverted pendulum system is successful.