Eventos Anais de eventos
DINAME 2017
XVII International Symposium on Dynamic Problems of Mechanics
Optimization of Passive and Active Electromechanical Suspension Systems
Submission Author:
Willian Minnemann Kuhnert , SP
Co-Authors:
Willian Minnemann Kuhnert, Marcos Silveira, Paulo José Paupitz Gonçalves
Presenter: Willian Minnemann Kuhnert
doi://10.26678/ABCM.DINAME2017.DIN17-0166
Abstract
The study of regenerating systems to make use of wasted energy has become an important subject in the development of new mechanical systems. In the case of automobile suspension systems, one way that it is possible to harvest energy is by coupling an electrical system to the mechanical system, and use the harvested energy to active control. The automobile suspension systems are necessary primarily to improve handling stability and passenger comfort, though they are usually competing objectives, where improving one degrades the other. The aim of this paper is to study a simplified suspension model, composed by a single degree of freedom (SDOF) mechanical system (mass, spring and damper) and a coupled SDOF electrical circuit (inductor, resistor and capacitor) that converts mechanical into electrical energy, in order to improve both comfort to passengers and handling, by using the restored energy for active control. As these are competing objectives, a multi-objective optimization procedure with Genetic Algorithm is used. Feedforward strategy is employed to reduce vibration and increase electrical energy harvested. At first, from the mathematical model obtained by Lagrangian approach, a frequency response analysis is derived by considering harmonic excitation or the Impedance Method. The displacement transfer function, also known as displacement transmissibility, and the charge transfer function are obtained and analyzed, i.e., the equations defining the resonance frequencies (poles) and the anti-resonance frequency (zero) are defined. Second, passive control with multi-objective optimization is carried out by using Genetic Algorithm with the objective of minimization of the area under the transmissibility response as a function of the frequency and the maximization of the charge. This is done by adjusting the dissipation coefficients (damping coefficient and resistance) to a constrained problem. Finally, active control is carried out using feedforward strategy. The results obtained by both strategies are compared to the same model without active control in order to decide which one is better for the purposed problem. It is shown that it is very possible to develop an optimized electromechanical suspension system for automobiles which conciliates the energy harvested and the displacement transmissibility, resulting in improved handling and comfort for passengers.
Keywords
Multi-Objective Optimization, Displacement Transmissibility, Electromechanical Suspension, energy harvesting
