• 제목/요약/키워드: 3 DOF nonlinear coupling control

검색결과 2건 처리시간 0.014초

비선형 변환제어에 의한 3자유도 수직 다관절 로봇의 제어 (Control of a 3-DOF vertical articulated robotic system using nonlinear transformation control)

  • 양창일;백윤수
    • 대한기계학회논문집A
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    • 제21권11호
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    • pp.1809-1818
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    • 1997
  • Mathematical models of industrial robots or manipulators are highly nonlinear equations with nonlinear coupling between the variables of motion. As the working speed has been fast, the effects of nonlinear terms have become serious. So the control algorithm based on approximately linearized equation looses the efficiency. In order to design the control law for the nonlinear models, Hunt-Su's nonlinear transformation method and Marino's feedback equivalence condition are used with linear quadratic regulator(LQR) theory in this study. Nonlinear terms of the system are eliminated and coupled terms are decoupled by this feedback law. This method is applied to a 3-D.O.F. vertical articulated manipulator by both experiments and simulations and compared with PID control which is widely used in the industry.

이족보행 안전성을 위한 골반기구의 제어시스템 설계 (Control System Design of Pelvis Platform for Biped Walking Stability)

  • 김수현;양태규
    • 제어로봇시스템학회논문지
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    • 제15권3호
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    • pp.306-314
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    • 2009
  • The pelvis platform is the mechanical part which accomplishes the activities of diminishing the disturbances from the lower body and maintaining a balanced posture. When a biped robot walks, a lot of disturbances and irregular vibrations are generated and transmitted to the upper body. As there are some important machines and instruments in the upper body or head such as CPU, controller units, vision system, etc., the upper part should be isolated from disturbances or vibrations to functions properly and finally to improve the biped stability. This platform has 3 rotational degrees of freedom and is able to maintain balanced level by feedback control system. Some sensors are fused for more accurate estimation and the control system which integrates synchronization and active filtering is simulated on the virtual environment.