نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه دینامیک ارتعاشات و کنترل، دانشکده مکانیک، دانشگاه گیلان، رشت، ایران
2 گروه مکانیک، دانشکده مکانیک، دانشگاه گیلان، رشت، ایران
3 گیلان*مهندسی مکانیک
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Gaining the function of control signal that transfer the system states from initial to desired final conditions is one of the main issues related to the optimal control of modern systems. Optimal control signal is usually obtained by numerical solution (such as dynamic programming algorithm) or analytical solution (like Hamilton-Jacobi-Bellman or Riccati equations approaches) of a single-objective performance index which is a weighted combination of control effort and the fitness of system’s states. However, choosing proper weight coefficients in these approaches needs a lot of trial and error in addition to experience. In this papers, such time consuming procedures are eliminated by using Genetic programming (GP) in single and multi-objective optimization process to find those closed-form mathematical solutions of optimal control problems. In this way, it would be readily possible to trade-off among the objective functions using the obtained pareto-front of those solutions based on the needs of the control system designer. It will be shown that in the case of same weighting factors, the solution of the Riccati equation would also be obtained using the approach of this paper.
کلیدواژهها [English]
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