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Energies 2018, 11(9), 2426; https://doi.org/10.3390/en11092426

Multi-Objective Optimization Design of an Electrohydrostatic Actuator Based on a Particle Swarm Optimization Algorithm and an Analytic Hierarchy Process

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
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Received: 1 July 2018 / Revised: 10 August 2018 / Accepted: 10 August 2018 / Published: 13 September 2018
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Abstract

During the last few years, the concept of more-electric aircraft has been pushed ahead by industry and academics. For a more-electric actuation system, the electrohydrostatic actuator (EHA) has shown its potential for better reliability, low maintenance cost and reducing aircraft weight. Designing an EHA for aviation applications is a hard task, which should balance several inconsistent objectives simultaneously, such as weight, stiffness and power consumption. This work presents a method to obtain the optimal EHA, which combines multi-objective optimization with a synthetic decision method, that is, a multi-objective optimization design method, that can combine designers’ preferences and experiences. The evaluation model of an EHA in terms of weight, stiffness and power consumption is studied in the first section. Then, a multi-objective particle swarm optimization (MOPSO) algorithm is introduced to obtain the Pareto front, and an analytic hierarchy process (AHP) is applied to help find the optimal design in the Pareto front. A demo of an EHA design illustrates the feasibility of the proposed method. View Full-Text
Keywords: electrohydrostatic actuator; multi-objective optimization; particle swarm optimization; analytic hierarchy process electrohydrostatic actuator; multi-objective optimization; particle swarm optimization; analytic hierarchy process
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Yu, B.; Wu, S.; Jiao, Z.; Shang, Y. Multi-Objective Optimization Design of an Electrohydrostatic Actuator Based on a Particle Swarm Optimization Algorithm and an Analytic Hierarchy Process. Energies 2018, 11, 2426.

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