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

Bo Yu, Shuai Wu, Zongxia Jiao and Yaoxing Shang
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Bo Yu: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Shuai Wu: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Zongxia Jiao: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Yaoxing Shang: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China

Energies, 2018, vol. 11, issue 9, 1-15

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.

Keywords: electrohydrostatic actuator; multi-objective optimization; particle swarm optimization; analytic hierarchy process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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