Searched for: subject%3A%22feedforward%255C+control%22
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Neele, Maurits (author)
High-precision mechatronic equipment often benefits from or even needs vibration isolation to function within specification. Examples of such equipment include metrology devices, space instrumentation and lithography assemblies. Vibration isolation is often the function of the mounting between the equipment and the floor or rest of the machine....
master thesis 2024
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Aarnoudse, Leontine (author), Kon, Johan (author), Ohnishi, Wataru (author), Poot, Maurice (author), Tacx, Paul (author), Strijbosch, Nard (author), Oomen, T.A.E. (author)
The performance of feedforward control depends strongly on its ability to compensate for reproducible disturbances. The aim of this paper is to develop a systematic framework for artificial neural networks (ANN) for feedforward control. The method involves three aspects: a new criterion that emphasizes the closed-loop control objective,...
journal article 2024
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Aarnoudse, Leontine (author), Kon, Johan (author), Classens, Koen (author), van Meer, Max (author), Poot, Maurice (author), Tacx, Paul (author), Strijbosch, Nard (author), Oomen, T.A.E. (author)
Cross-coupled iterative learning control (ILC) can improve the contour tracking performance of manufacturing systems significantly. This paper aims to develop a framework for norm-optimal cross-coupled ILC that enables intuitive tuning of time- and iteration-varying weights of the exact contour error and its tangential counterpart. This leads...
journal article 2024
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Spijkerman, Danny (author)
Due to the increased share of (offshore) wind turbines, more stringent power requirements have been established. Importantly, the low-voltage ride-through requirement states that a wind turbine must remain connected to the electrical grid after a short intermittent grid fault. In the industry and academia many solutions have been proposed, but...
master thesis 2023
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Kon, Johan (author), de Vos, Naomi (author), Bruijnen, Dennis (author), van de Wijdeven, Jeroen (author), Heertjes, Marcel (author), Oomen, T.A.E. (author)
Tracking performance of physical-model-based feedforward control for interventional X-ray systems is limited by hard-to-model parasitic nonlinear dynamics, such as cable forces and nonlinear friction. In this paper, these nonlinear dynamics are compensated using a physics-guided neural network (PGNN), consisting of a physical model, embedding...
journal article 2023
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Aarnoudse, Leontine (author), Pavlov, Alexey (author), Oomen, T.A.E. (author)
Iterative learning control (ILC) involves a trade-off between perfect, fast attenuation of iteration-invariant disturbances and amplification of iteration-varying ones. The aim of this paper is to develop a nonlinear ILC framework that achieves fast convergence, robustness, and low converged error values in ILC. To this end, the method...
journal article 2023
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Aarnoudse, Leontine (author), Strijbosch, Nard (author), Tacx, Paul (author), Verschueren, Edwin (author), Oomen, T.A.E. (author)
Piezo stepper actuators are very promising for nanopositioning systems due to their high resolution, high stiffness, fast response, and the ability to position a mover over an infinite stroke by means of motion reminiscent of walking. The aim of this paper is to enhance the waveforms for actuating piezo steppers, by actively compensating for...
journal article 2023
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Kon, Johan (author), Heertjes, Marcel (author), Oomen, T.A.E. (author)
An increasing trend in the use of neural networks in control systems is being observed. The aim of this paper is to reveal that the straightforward application of learning neural network feedforward controllers with closed-loop data may introduce parameter inconsistency that degrades control performance, and to provide a solution. The...
journal article 2022
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Poot, Maurice (author), Portegies, Jim (author), Mooren, Noud (author), van Haren, Max (author), van Meer, Max (author), Oomen, T.A.E. (author)
Machine learning techniques, including Gaussian processes (GPs), are expected to play a significant role in meeting speed, accuracy, and functionality requirements in future data-intensive mechatronic systems. This paper aims to reveal the potential of GPs for motion control applications. Successful applications of GPs for feedforward and...
journal article 2022
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Aarnoudse, Leontine (author), Oomen, T.A.E. (author)
Parameterized feedforward control is at the basis of many successful control applications with varying references. The aim of this paper is to develop an efficient data-driven approach to learn the feedforward parameters for MIMO systems. To this end, a cost criterion is minimized using a stochastic gradient descent algorithm, in which both...
journal article 2022
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Van Meer, Max (author), Poot, Maurice (author), Portegies, Jim (author), Oomen, T.A.E. (author)
Feedforward control is essential to achieving good tracking performance in positioning systems. The aim of this paper is to develop an identification strategy for inverse models of systems with nonlinear dynamics of unknown structure using input-output data, which can be used to generate feedforward signals for a-priori unknown tasks. To this...
journal article 2022
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Al, Mees (author)
Classical feedback control for floating offshore wind turbines has limited capabilities to reduce wave disturbances. Feedforward control uses disturbance measurement, to construct an additional control law such that the disturbance is attenuated. The main objective of this work is to prove the concept of wave-FF control to attenuate wave...
master thesis 2020
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Singh, Aditya (author)
Deformable mirrors are used for changing the wavefront of the reflected light by using one or more actuators behind the mirror to physically deform it. This application is widely used in telescopes to compensate for atmospheric aberrations using a feedback wavefront sensor. Recent advances in lithography process require more precise wavefront...
master thesis 2019
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Khodadadian, F. (author)
Photocatalysis involves the absorption of photons by a semiconductor to enhance chemical reactions. Examples of important applications include the degradation of hazardous chemicals, reduction of carbon dioxide to valuable chemicals and (partial) oxidation of hydrocarbons. Despite many successful demonstrations of this technology at lab-scale,...
doctoral thesis 2019
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Liao, Wenjun (author), Guan, Guanghua (author), Tian, X. (author)
In the open channel control algorithm, good feed-forward controllers will reduce the transition time of the canal and improve performance. Feedforward control algorithms based on active storage compensation are greatly affected by delay time. However, there is no literature comparing the three most commonly used algorithms, namely volume step...
journal article 2019
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Bosma, Stijn (author)
A repetitive motion system supporting nano meter precision is positioned at high accelerations, which produces a force that disturbs the demanded accuracy requirements. Iterative learning control is used to learn optimal feedforward control signals for the attenuation this disturbance force. The iterative method comes with a limitation, as it...
master thesis 2019
document
Khodadadian, F. (author), Galnares de la Garza, F.O. (author), van Ommen, J.R. (author), Stankiewicz, A.I. (author), Lakerveld, Richard (author)
An optimal photon utilization is important for the economic performance of a photocatalytic reactor. However, for the desired reactor performance, it is often difficult to predict the required photon utilization. In this work, automated feedback and feedforward controllers are investigated to maintain the reactor conversion close to a desired...
journal article 2019
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Drop, F.M. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)
Realistic manual control tasks typically involve predictable target signals and random disturbances. The human controller (HC) is hypothesized to use a feedforward control strategy for target-following, in addition to feedback control for disturbance-rejection. Little is known about human feedforward control, partly because common system...
journal article 2017
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Khalate, A.A. (author)
In recent years, inkjet technology has emerged as a promising manufacturing tool. This technology has gained its popularity mainly due to the facts that it can handle diverse materials and it is a non-contact and additive process. Moreover, the inkjet technology offers low operational costs, easy scalability, digital control and low material...
doctoral thesis 2013
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