One general trend aiming to improve the development of hybrid electric powertrains is the reduction of production cost of powertrains by developing powertrain components that can be used for multiple vehicle segments....
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Wireless sensor networks consist of sensor nodes that are deployed in a large area and collect information from a sensor field. Since the nodes have very limited energy resources, the energy consuming operations such ...
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In this paper, the feedforward controller design problem for high-precision electromechanical servo systems that execute finite time tasks is addressed. The presented procedure combines the selection of the fixed stru...
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Atomic force microscopes (AFMs) are used for sample imaging and characterization at nanometer scale. In this work, we consider a metrological AFM, which is used for the calibration of transfer standards for commercial...
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Exploiting the moving horizon strategy, we provide in this paper a solution of the constrained L2-gain attenuation control problem that is less conservative than a recently suggested switching approach based on off-li...
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Manufacturing and maintenance costs arising out of wind turbine dynamic loading are one of the largest bottlenecks in the roll-out of wind energy. Individual Pitch control (IPC) is being researched for cost reduction ...
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Heavy-duty diesel engines are designed for low fuel consumption and flexibility in the engine-out emissions of Nitrogen Oxides (NOx) and Particulate Matter (PM) to meet the Euro VI en EPA13 emission legislation and ma...
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High-tech motion system development is driven by increasingly accurate and fast positioning requirements. Feedforward compensation together with high bandwidth feedback control are essential to achieve these ever tigh...
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High-tech motion system development is driven by increasingly accurate and fast positioning requirements. Feedforward compensation together with high bandwidth feedback control are essential to achieve these ever tightening performance demands. In particular, online adaptation of the feedforward parameters, to correct for small position dependencies and slow variations, is crucial to approach zero error tracking. The aim of this paper is a framework that provides robust recursive learning of feedforward parameters for any bounded reference trajectory. The convergence of the parameter learning strategy exploits the difference in time-scale between the parameter variation rate and the bandwidth of the servo controlled system. This enables to describe a servo-error-based objective function for varying trajectories as a static sector bounded nonlinearity. Subsequently, the circle criterion is employed to derive stability guarantees on the learning with explicit robustness to reference trajectory variation. A numerical case study demonstrates that a significant performance improvement can be achieved.
A deterministic design procedure for controlling a class of multivariable linear plants operating in an unknown environment is presented in this paper. In it use is made of the concept of the ‘two-level’ controller....
A deterministic design procedure for controlling a class of multivariable linear plants operating in an unknown environment is presented in this paper. In it use is made of the concept of the ‘two-level’ controller. The design of the first-level, which operates in a feedforward mode, is a function of the given desired response characteristics of the plant. The design of the second-level, which operates in a conditional feedback mode, employs the Liapunov type synthesis procedure and is independent of the plant parameters and its uncertainties. To cope with the plant uncertainties a measurable vector, which is characteristic of the plant’s unknown environment and is called the ‘characteristic vector’, is introduced. The design procedure presented may be viewed as a deterministic approach, by-passing some of the rigid requirements of the stochastic control theory and adaptive techniques. It is illustrated by means of two hybrid simulated examples.
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