Design of Robust Crane system Using Multi-objective optimization and UKF
محل انتشار: شانزدهمین کنفرانس بین المللی مهندسی صنایع
سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 460
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شناسه ملی سند علمی:
IIEC16_163
تاریخ نمایه سازی: 12 مرداد 1399
چکیده مقاله:
The Unscented Kalman filter (UKF) is the popular approach to estimate the real amount of states of dynamical systems using measurement data corrupted with noise. Also, the multi-objective uniform diversity genetic algorithm (MUGA) is one of the most famous optimization algorithms which has been used recently in a wide range of engineering multi-objective problems. In this paper, UKF filter is used to determine real states of a crane system and the MUGA algorithm is applied to achieve the optimum switching times of Bang-Bang control input based on three objective functions. Some Pareto optimum design points are presented which trade-off optimum design points can be simply selected. Simulation results show that the behavior of the obtained trade-off point is robust and the effectiveness of this algorithm is demonstrated by the cumulative distribution functions.
کلیدواژه ها:
نویسندگان
Mojtaba Masoumnezhad
Department of Mechanical Engineering, Technical and Vocational University,Tehran, Iran,
Nematollah Askari
Department of Mechanical Engineering, Technical and Vocational University,Tehran, Iran,