Searched for: author%3A%22van+Kampen%2C+E.%22
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Völker, W.J.E. (author), Li, Y. (author), van Kampen, E. (author)
Recent research on the Flying V - a flying-wing long-range passenger aircraft - shows that its airframe design is 25% more aerodynamically efficient than a conventional tube-and-wing airframe. The Flying V is therefore a promising contribution towards reduction in climate impact of long-haul flights. However, some design aspects of the Flying V...
conference paper 2023
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Pollack, T.S.C. (author), van Kampen, E. (author)
This paper proposes an extension to the traditional flight path reconstruction filter to simultaneously reconstruct the aircraft rigid body states together with modal amplitudes and velocities of the structure. To achieve this, the filter makes use of additional accelerometers, gyroscopes and strain gauges placed across the aircraft structure....
conference paper 2023
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de Haro Pizarroso, Gabriel (author), van Kampen, E. (author)
Reinforcement Learning is being increasingly applied to flight control tasks, with the objective of developing truly autonomous flying vehicles able to traverse highly variable environments and adapt to unknown situations or possible failures. However, the development of these increasingly complex models and algorithms further reduces our...
conference paper 2023
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van Overeem, S. (author), Wang, Xuerui (author), van Kampen, E. (author)
Considerable growth in the number of passengers and cargo transported by air is predicted. Moreover, aircraft noise and climate impact become increasingly important factors in aircraft design. These existing challenges in aviation boost interest in the design of innovative aircraft configurations. One of these configurations is a V-shaped flying...
conference paper 2023
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Li, Y. (author), van Kampen, E. (author)
This paper proposes a novel dynamic programming algorithm for nonlinear system optimal control problem, namely Incremental Generalized Policy Iteration (IGPI). The proposed IGPI algorithm combines the advantages of Incremental Control(IC) and Generalized Policy Iteration(GPI). Incremental control can handle the nonlinearity and uncertainty in...
conference paper 2023
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Li, Y. (author), van Kampen, E. (author)
This paper deals with the design of an adaptive optimal controller for a fixed-wing Unmanned Aerial Vehicle(UAV) using an incremental value iteration algorithm. The incremental model is firstly introduced to linearize a nonlinear system. The recursive least squares(RLS) identification algorithm is then used to identify the incremental model....
conference paper 2023
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Liu, C. (author), van Kampen, E. (author), de Croon, G.C.H.E. (author)
Enabling the capability of assessing risk and making risk-aware decisions is essential to applying reinforcement learning to safety-critical robots like drones. In this paper, we investigate a specific case where a nano quadcopter robot learns to navigate an apriori-unknown cluttered environment under partial observability. We present a...
conference paper 2023
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De Buysscher, D.D.C. (author), Pollack, T.S.C. (author), van Kampen, E. (author)
Safe Curriculum Learning aims at improving safety and efficiency aspects of Reinforcement Learning (RL). Curricular RL approaches divide a task into stages of increasing complexity in order to increase efficiency. This paper proposes a black box safe curriculum learning architecture applicable to systems with parametric unknowns. The agent...
conference paper 2022
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Pollack, T.S.C. (author), van Kampen, E. (author)
Incremental Nonlinear Dynamic Inversion (INDI) is a sensor-based control law design strategy that is based on the principles of feedback linearization. Contrary to its non-incremental counterpart (NDI), this design method does not rely on the availability of a high-fidelity on-board model of the airframe dynamics and is robust to aerodynamic...
conference paper 2022
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Sun, B. (author), van Kampen, E. (author)
This paper develops an event-triggered optimal control method that can deal with asymmetric input constraints for nonlinear discrete-time systems. The implementation is based on an explainable global dual heuristic programming (XGDHP) technique. Different from traditional GDHP, the required derivatives of cost function in the proposed method...
journal article 2022
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Sun, B. (author), Wang, Xuerui (author), van Kampen, E. (author)
In this paper, we establish an event-triggered intelligent control scheme with a single critic network, to cope with the optimal stabilization problem of nonlinear aeroelastic systems. The main contribution lies in the design of a novel triggering condition with input constraints, avoiding the Lipschitz assumption on the inverse hyperbolic...
journal article 2022
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van Overeem, S. (author), Wang, Xuerui (author), van Kampen, E. (author)
Considerable growth in the number of passengers and cargo transported by air is predicted. Besides that, aircraft noise and climate impact become increasingly important factors in aircraft design. These existing challenges in aviation boost interest in the design of innovative aircraft configurations. One of these configurations is a V-shaped...
conference paper 2022
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Smit, B. (author), Pollack, T.S.C. (author), van Kampen, E. (author)
Control augmentation systems based on Incremental Nonlinear Dynamic Inversion (INDI) are able to provide high-performance nonlinear control without a holistic model. Considering an angular rate control law for a fixed-wing aircraft, only a control effectiveness (CE) model and angular acceleration measurement feedback is required. Despite...
conference paper 2022
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Paul, Acquatella B. (author), van Kampen, E. (author), Chu, Q. P. (author)
This paper presents a sampled-data form of the recently reformulated incremental nonlinear dynamic inversion (INDI) applied for robust spacecraft attitude control. INDI is a combined model- and sensor-based approach mostly applied for attitude control that only requires an accurate control effectiveness model and measurements of the state and...
conference paper 2022
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Kumtepe, Y. (author), Pollack, T.S.C. (author), van Kampen, E. (author)
Incremental Nonlinear Dynamic Inversion (INDI) is a sensor-based control strategy, which has shown robustness against model uncertainties on various aerospace platforms. The sensor-based nature of the method brings attractive properties, which has made it popular in the last decade. INDI globally linearizes the system by making use of control...
conference paper 2022
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Dally, Killian (author), van Kampen, E. (author)
Fault-tolerant flight control faces challenges, as developing a model-based controller for each unexpected failure is unrealistic, and online learning methods can handle limited system complexity due to their low sample efficiency. In this research, a model-free coupled-dynamics flight controller for a jet aircraft able to withstand multiple...
conference paper 2022
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Liu, C. (author), van Kampen, E. (author)
Reinforcement learning (RL) equipped with neural networks has recently led to a wide range of successes in learning policies for unmanned aerial vehicle (UAV) navigation and control problems. The success of RL relies on two human-designed heuristics: appropriate action space definition and reward function engineering. The commonly used fully...
conference paper 2022
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Pollack, T.S.C. (author), van Kampen, E. (author)
Flight control systems enable the improvement of natural flying qualities and airframe performance of an aircraft. In this article, an incremental optimization control scheme is proposed to optimize a given performance objective set by the designer in an online fashion using limited model information. This scheme is applied to improve the...
conference paper 2022
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Sun, B. (author), Mkhoyan, T. (author), van Kampen, E. (author), De Breuker, R. (author), Wang, Xuerui (author)
Morphing structures have acquired much attention in the aerospace community because they enable an aircraft to actively adapt its shape during flight, leading to fewer emissions and fuel consumption. Researchers have designed, manufactured, and tested a morphing wing named SmartX-Alpha, which can actively alleviate loads while achieving the...
journal article 2022
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Zammit, C. (author), van Kampen, E. (author)
Unmanned Aerial Vehicles (UAVs) are taking active roles in personal, commercial, industrial and military applications due to their efficiency, availability and low-cost. UAVs must operate safely and in real-time in both static and dynamic environments. An extensive literature review, defines the dynamic environment term, the need for dynamic...
conference paper 2021
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