December 22, 2024
Persian Gulf University
فارسی
Valiollah Ghaffari
Academic Rank:
Associate professor
Address:
Persian Gulf University
Degree:
Ph.D in Electrical Engineering
Phone:
07733442269
Faculty:
Faculty of Intelligent Systems and Data Science
E-mail:
vghaffari [at] pgu [dot] ac [dot] ir
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Title
Guidance Algorithm via Numerical Optimization Approach in Constrained Planar Guidance Problem
Type
Article
Keywords
قانون هدايت، زاويه خط ديد، نرخ زاويه خط ديد و بهينه سازي عددي
Journal
فناوری در مهندسی هوافضا
DOI
10.22034/jtae.2024.478202.1364
Researchers
fatemeh azarniveh (First researcher)
,
Valiollah Ghaffari (Second researcher)
,
Vahid Meigoli (Third researcher)
Abstract
Including variables’ limitations, optimal open-loop guidance is discussed in a guidance equation. To this purpose, the model of a planar guidance system is considered by assuming constant velocities for the vehicle and the target. Concerning lateral acceleration as the input, the governed equations of the problem are determined. The admissible range of the variables is specified in the problem formulation. Then the cost function is selected appropriately. The lateral acceleration is optimally calculated via optimizing such a cost function. To reflect the effectiveness of the guidance idea, the proposed approach has been evaluated in several scenarios. Also, the lateral acceleration has been optimally computed through an optimizer. The results are first compared with the proportional guidance and the performance of the technique is shown. Then uncertainty, time-delay, and disturbance are included in the model and the simulation is repeated to study the robustness. In numerical simulations, it is seen that the optimal guidance law, which is developed for the nominal system, is robust concerning uncertainties. The digital realization of the guidance law and the effect of sampling are studied at last. It has been shown that the implementation of the proposed approach would be robust concerning the sampling period.