Successive and Parallel Optimization of Linear Actuator Behaviors
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Throughout this paper a magnetostatic and a dynamic model of an incremental linear actuator are implemented in the goal to improve the static force and the overflow of the dynamic response over two successive step displacements by optimizing its design and control parameters. First a parameterized design model is built. Second, a dynamic model is implemented. This model takes into account the thrust force computed from a Finite Element model. Third, a successive optimization of design and control parameters of the incremental actuator is applied using two hybrid monoobjective algorithms implemented under the elaborated platform. Finally, a parallel optimization of control and design parameters of the studied actuator is performed using monoobjective and multiobjective algorithm developed under the OPtimization Platform (O2P).
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