An important reflection of the overall efficiency, reliability, and passenger safety of a more electric aircraft (MEA) is the output performance of its electrical power system (EPS) controller. This output performance...
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An important reflection of the overall efficiency, reliability, and passenger safety of a more electric aircraft (MEA) is the output performance of its electrical power system (EPS) controller. This output performance encompasses the rise time, setting time, and percent undershoot of the voltage across the capacitor bank. Therefore, this article presents an optimal controller design using an artificial intelligence method called the adaptivetabusearch (ATS) algorithm. The state-variables-averaging model is applied with the ATS algorithm to reduce computational time. Moreover, stability analysis based on the eigenvalue theorem is used as the penalty condition during the searching process to avoid unstable operation. The output performance of the proposed controller design is superior to that of the conventional controller design. All design results are verified by good agreement with MATLAB and hardware-in-the-loop (HIL) simulations.
The bike repositioning and recycling problem (BRRP) is significant to develop a sustainable bike-sharing system and can effectively reduce the imbalance between demand and supply. This study investigates the static re...
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The bike repositioning and recycling problem (BRRP) is significant to develop a sustainable bike-sharing system and can effectively reduce the imbalance between demand and supply. This study investigates the static repositioning and recycling problem of a bike-sharing system, which is formulated as an integer linear programming model. The BRRP is a variant of the multi-depot simultaneous pickup and delivery problem with multi-commodity demand. To solve the proposed model, an adaptivetabusearch (ATS) algorithm combined with six neighborhood structures is developed. Moreover, an iterated local search (ILS) and a route elimination operator are both embedded to reduce the number of routes. The performance of the proposed ATS is evaluated by comparing it with tabusearch (TS) and variable neighborhood search (VNS). The experimental results show that the proposed algorithm performs better than TS and VNS in terms of the solution quality. The proposed ATS was used to analyze the bicycle system in New York City. Finally, a free solver is developed for the bike repositioning and recycling problem, which is named the BRRP Solver. (C) 2020 Elsevier Ltd. All rights reserved.
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