• 한국지능시스템학회논문지
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• 제21권5호
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• pp.595-601
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• 2011

본 논문에서는 영상 정보를 이용하여 로보커 팔위의 역진자의 밸런싱 제어를 한다. 로봇 팔위에 놓인 역진자의 각도는 카메라로 검출하고 검출된 각도 값은 제어기로 귀환되어 오차를 생성한다. 따라서 전체 제어루프는 폐회로 루프를 형성한다. 제어 성능을 높이기 위해 기존 선형제어기에 신경망 제어기를 더하였다. RBF 네트워크의 학습 알고리즘은 FPGA에 설계된 부동소수점 연산이 가능한 디지털 제어기에 의해 수행된다. 실험을 통하여 전체 시스템 성능을 검증하였다.

• 제어로봇시스템학회논문지
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• 제13권12호
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• pp.1153-1159
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• 2007

This paper presents the hardware implementation of nonlinear PID controllers for the ROBOKER humanoid robot arms. To design the nonlinear PID controller on an FPGA chip, nonlinear functions as well as the conventional PID control algorithm have to be implemented by the hardware description language. Therefore, nonlinear functions such as trigonometric or exponential functions are designed on an FPGA chip. Simulation studies of the position control of humanoid arms are conducted and results are compared. Superior performances by the nonlinear PID controllers are confirmed when disturbances are present. Experiments of humanoid robot arm control tasks are conducted to confirm the performance of our hardware design and the simulation results.

• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1096-1101
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• 2009

In this paper, an embedded system has been designed for force control application to interact between a robot arm and a human operator. Force induced by the human operator is converted to the desired position information for the robot to follow. For smooth operations, the impedance force control algorithm is utilized to represent interaction between the robot and the human operator by filtering the force. To improve the performance of position control of the robot arm, a velocity term has been obtained and tested by several filters. A PD controller for position control has been implemented on an FPGA as well. Experimental studies are conducted with the ROBOKER to test the functionality of the designed hardware.

• 제어로봇시스템학회논문지
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• 제14권10호
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• pp.998-1004
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• 2008

In this paper, a visual servoing control technique of humanoid robot arms is implemented for tracking a moving object. An embedded time-delayed controller is designed on an FPGA(Programmable field gate array) chip and implemented to control humanoid robot arms. The position of the moving object is detected by a stereo vision camera and converted to joint commands through the inverse kinematics. Then the robot arm performs visual servoing control to track a moving object in real time fashion. Experimental studies are conducted and results demonstrate the feasibility of the visual feedback control method for a moving object tracking task by the humanoid robot arms called the ROBOKER.