Browsing by Author "Tayyar, Gokhan Tansel"
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Article Citation - WoS: 5Citation - Scopus: 7Design Optimization of a Solenoid Actuator Using Particle Swarm Optimization Algorithm With Multiple Objectives(Sage Publications Ltd, 2022) Abedinifar, Masoud; Ertugrul, Seniz; Tayyar, Gokhan TanselSolenoid actuators are well-known components that convert electromagnetic energy into mechanical energy. For control purposes, it is requested to have a high magnetic force that stays almost constant in the working region of the actuator. To meet these requirements, it is necessary to have an optimal geometrical design of the actuator. In this study, the following steps are performed to optimize the geometry of the solenoid actuator. The Finite Element Analysis (FEA) is performed, and the results of the simulation is verified with the experimental data. The effect of all geometrical parameters on the characteristics of the magnetic force is investigated. The parameters that highly affect the magnetic force are chosen as design optimization parameters. Then, the Particle Swarm Optimization (PSO) algorithm is realized to find optimal parameters. The algorithm consists of two objective functions being combined into a single objective function. It includes a higher and more consistent magnetic force in the effective working region of the solenoid. Finally, the solenoid actuator with optimized parameters is manufactured, and the results are compared. They show that the optimized solenoid actuator satisfies one of the objective functions, and magnetic force stays almost constant in the working region of the solenoid actuator.Conference Object Fault Simulation and Identification of an Electrohydraulic System by Using Fault Emulation(IEEE, 2024) Guner, Hakan; Ertugrul, Seniz; Tayyar, Gokhan TanselHydraulic systems work under harsh conditions and fault diagnosis is of vital importance. The right set of sensors to collect data for the possible faults should be selected. In this paper, an electrohydraulic system model is established on Simscape on the Matlab platform, and typical hydraulic faults are simulated by using the software. Later, the data-driven approach was employed by using the Matlab Diagnostic Feature Designer Toolbox and Feature Classification Toolbox for best fit for fault identification.

