Multi-Objective Optimization of Electro-Hydrostatic Actuators with Octagon Architecture

Date

2024-8

Author

Turhan, Ömer Faruk

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As a promising technology, the applications of electro-hydrostatic actuators have been gradually increasing since they fulfilled the challenging requirements of aviation and industrial applications. That is because they combine many advantages such as higher power density, efficiency, compactness, maintainability, mobility and reliability which are less observed in the other alternative solutions. However, designing these systems can be challenging due to being multidisciplinary and conflicting requirements. Therefore, an efficient preliminary design method with multi-objective optimization is suggested to overcome these issues by introducing a novel octagon architecture for double redundant EHAs. In this thesis, the four objectives: weight, energy consumption, frequency response and dynamic stiffness are evaluated by using estimation models generated, and a Non-dominated Sorting Particle Swarm Optimization (NSPSO), which is a hybrid multi-objective optimization method, is applied to reach a Pareto-front of solution space. Unlike other studies, the buckling and cavitation problems of these systems are considered as constraints while specifying the parameters of octagon architecture. Afterwards, an analytic hierarchy process (AHP) is implemented in order to reach the final main design parameters, and these parameters are utilized through a mathematical model with simulation. Finally, the estimation tools are verified by using a doubled redundant EHA with industrial components which is previously designed and manufactured by determining design parameters with experience. A comparison between the performance of this manufactured system and the corresponding objective values estimated is made, and the results are found to be compatible. As a result, this method can be successfully applied for different applications of EHAs.

Subject Keywords

Electro-Hydrostatic Actuators, Multi-Objective Optimization, Buckling, Cavitation, Octagon Architecture

URI

https://hdl.handle.net/11511/111307

Collections

Graduate School of Natural and Applied Sciences, Thesis