• Title/Summary/Keyword: Ninlinear Control

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An Anti-Windup Compensation for Systems with Saturation Actuators (포화 요소가 있는 계를 위한 와인드업 방지 보상 방법)

  • 장원욱;박영진
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.7
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    • pp.1332-1340
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    • 1992
  • A novel approach based on a nonlinear compensator is prposed to prevent 'windup', which is caused by the saturation of the acutator and the integral action of the controller. The anti-windup compensator is located between the conventional linear controller, designed neglecting the saturation, and the actuator. It was proven based on the describing function method that, if the closed loop control systems are stable assuming no saturation, then there may exist a range of compensator gain which prevents any limit-cycle. The computer simulation results show that the compensator proposed in the manuscript can eliminate the limit cycle and improve the transient response.

Development of a Heuristic Method for Solving a Class of Nonlinear Integer Programs with Application to Redundancy Optimization for the Safely Control System using Multi-processor (비선형정수계획의 새로운 발견적해법의 개발과 고성능 다중프로세서를 이용한 안전관리 시스템의 신뢰도 중복설계의 최적화)

  • 김장욱;김재환;황승옥;박춘일;금상호
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.1 no.2
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    • pp.69-82
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    • 1995
  • This study is concerned with developing a heuristic algorithm for solving a class of ninlinear integer programs(NLIP). Exact algrithm for solving a NLIP either may not exist, or may take an unrealistically large amount of computing time. This study develops a new heuristic, the Excursion Algorithm(EA), for solving a class of NLIP's. It turns out that excursions over a bounded feasible and/or infeasible region is effective in alleviation the risks of being trapped at a lical optimum. The developed EA is applied to the redundancy optimization problems for improving the system safety, and is compared with other existing heuristic methods. We also include simulated annealing(SA) method in the comparision experiment due to ist populatrity for solving complex combinatorial problems. Computational results indicate that the proposed EA performs consistently better than the other in terms of solution quality, with moderate increase in computing time. Therefore, the proposed EA is believed to be an attractive alternative to other heuristic methods.

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