• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
• /
• pp.209-211
• /
• 1986

The continuous time linear quadratic problem (LQP) has been applied to the control of a 8-tray distillation column using the code VASP. The weighting matrices for the state variables and control variables were adjusted iteratively. The simulation results of the optimal control with 2 inputs and 2 outputs showed that the LQP method is very satisfactory for a rapid response and feedback control, and any desired response could be obtained by adjusting the weighting matrices Q under = and R under =. The feedback gain matrix K under = was also determined.

• 전자공학회논문지SC
• /
• 제41권5호
• /
• pp.37-42
• /
• 2004

다변수 제어시스템의 최적 PI동조에 관한 연구는 난해하기 때문에 일반적인 방법으로 접근하기 힘들다. 본 논문에서는 다변수 시스템을 2-입력, 2-출력의 2차시스템을 고려하여 PI제어요소가 포함된 폐루프 상태방정식과 LQR의 폐루프 상태방정식의 관계를 유도하는 루프형성절차를 통해 주파수 영역 설계사양과 만족할 수 있도록 가격함수의 가중치 요소 Q와 R을 선정함으로써 성능 및 안정도-강인성이 보장되는 분산된 최적 강인 PI제어기 설계방법을 제안하고자 한다.

• 한국항해학회지
• /
• 제21권1호
• /
• pp.109-118
• /
• 1997

In this paper, applications of multilayer neural networks to control of flexible robot beam are considered. The multilayer nerual networks can be used to approximate any continuous function to a desired degree of accuracy and the weights are updated by Gradient Method. When a flexible beam is rotated by a motor through the fixed end, transverse vibration may occur. The motor torque should be controlled insuch a way that the motor rotates by a specified angle, while simultaneously stabilizing vibration of the flexible manipulators so that is arrested as soon as possbile at the end of rotation. Accurate control of lightweight beam during the large changes in configuration common to robotic tasks requires dynamic models that describe both rigid body motions, as well as the flexural vibrations. Therefore, a linear dynamic state-space model of for a single link flexible robot beam is derived and PD controller, LQP controller, and inverse dynamical neural networks controller are composed. The effectiveness the proposed control system is confirmed by computer simulation.