Constrained Nonlinear Optimal Control via a Hybrid BA-SD
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 25، شماره: 3
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 730
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شناسه ملی سند علمی:
JR_IJE-25-3_023
تاریخ نمایه سازی: 17 خرداد 1393
چکیده مقاله:
The non-convex behavior presented by nonlinear systems limits the application of classical optimization techniques to solve optimal control problems for these kinds of systems. This paperproposes a hybrid algorithm, namely BA-SD, by combining Bee algorithm (BA) with steepest descent(SD) method for numerically solving nonlinear optimal control (NOC) problems. The proposed algorithm includes the merits of BA and SD simultaneously. The motivation of presenting theproposed algorithm includes that BA is showed to converge to the region that global optimum issettled, rapidly during the initial stages of its search. However, around global optimum, the searchprocess will become slowly. In contrast, SD method has low ability to convergence to local optimum,but it can achieve faster convergent speed around global optimum and the convergent accuracy can behigher. In the proposed algorithm, at the beginning step of search procedure, BA is utilized to find a near optimum solution. In this case, the hybrid algorithm is used to enhance global search ability. When the change in fitness value is smaller than a predefined value, the searching procedure isswitched to SD to accelerate the search procedure and find an accurate solution. In this way, the algorithm finds an optimum solution more accurately. Simulations demonstrate the feasibility of the proposed algorithm
کلیدواژه ها:
نویسندگان
a Alfi
Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, P.O. Box ۳۶۱۹۹-۹۵۱۶۱, Shahrood, Iran
a Khosravi
Department of Electrical and Computer Engineering, Babol University of Technology, P.O. Box ۴۸۴, Babol, Iran