Herman Van der Auweraer

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This paper presents a multiphysics modeling of a switched reluctance motor (SRM) to simulate the acoustic radiation of the electrical machine. The proposed method uses a 2-D finite-element model of the motor to simulate its magnetic properties and a multiphysics mechatronic model of the motor and controls to simulate operating conditions. Magnetic forces on(More)
The problem of structural model identification under both known and unknown input excitations, is addressed. In-flight data analysis is an important instance of that problem. Input/output and output-only eigenstructure identification methods are described and compared, within two classes of methods: subspace-based and prediction error. In particular,(More)
Vehicle chassis control systems aim at increasing vehicle safety and performance, while ensuring superior passenger comfort. Nearly all control algorithms are sensitive to the inertial parameters of a vehicle. As the vehicle mass, the moments of inertia, and the centre of gravity (COG) position can change significantly during operation, an accurate online(More)
This paper analyzes the impact of realistic actuator constraints on the potential performance of a hydraulic active suspension system. The optimal control force, requested by an independent vehicle-level control law, can often not be generated by the hydraulic actuator due to physical constraints, resulting in a significant reduction of the suspension(More)
In recent years, there has been a renewed interest in developing faster and simpler transfer path analysis (TPA) methods. A dominant class of these new approaches, often referred to as Operational Path Analyses (OPA), is designed to achieve this goal by using only operational data in conjunction with the application of the transmissibility concept. Despite(More)
We address the problem of structural model identification during normal operating conditions and thus with uncontrolled, unmeasured, and nonstationary excitation. We advocate the use of output-only and covariance-driven subspace-based stochastic identification methods. We explain how to handle nonsimultaneously measured data from multiple sensor setups, and(More)
The product race has become an innovation race, reconciling challenges of branding, performance, time to market and competitive pricing while complying with ecological, safety and legislation constraints. The answer lies in “smart” products of high complexity, relying on heterogeneous technologies and involving active components. To keep pace with this(More)
System identification plays a crucial role in structural dynamics and vibro-acoustic system optimization. The followed approach is based on the “Modal Analysis” concept. The Eigenmodes of the system model can be visualized and allow a direct physical interpretation. Using the modal models, design improvements can be predicted and the structure optimized.(More)
This paper presents a novel adaptive control scheme, with improved convergence rate, for the equalization of harmonic disturbances such as engine noise. First, modifications for improving convergence speed of the standard filtered-X LMS control are described. Equalization capabilities are then implemented, allowing the independent tuning of harmonics.(More)