Dirk Abel
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View article: Advancing knee adduction moment prediction for neuromuscular training via functional joint definitions and real–time simulation using OpenSim
Advancing knee adduction moment prediction for neuromuscular training via functional joint definitions and real–time simulation using OpenSim Open
Neuromuscular training to strengthen leg muscles is an important part of the treatment of musculoskeletal disorders and chronic diseases and preventing age–related muscle loss. This study evaluates different individualization approaches an…
View article: Design and Practical Evaluation of Robust Model Predictive Wind Turbine Control
Design and Practical Evaluation of Robust Model Predictive Wind Turbine Control Open
Wind energy is one of the main renewable energy sources in the current energy transition. Due to ever more and ever larger wind turbines (WT), the requirements for WT operation become more complex. Model predictive control (MPC) for WTs sh…
View article: Design and practical evaluation of robust model predictive wind turbine control
Design and practical evaluation of robust model predictive wind turbine control Open
Wind energy is one of the main renewable energy sources in the current energy transition. Due to ever more and ever larger wind turbines (WT), the requirements for WT operation become more complex. Model predictive control (MPC) for WTs sh…
View article: Control-oriented wind turbine load estimation based on local linear neuro-fuzzy models
Control-oriented wind turbine load estimation based on local linear neuro-fuzzy models Open
To enhance energy production, the wind energy industry builds increasingly larger wind turbines (WT) in terms of hub height and rotor diameter. This enlargement results in higher structural loads, which emphasizes the importance of load-re…
View article: Model-Based Controlling Approaches for Manufacturing Processes
Model-Based Controlling Approaches for Manufacturing Processes Open
The main objectives in production technology are quality assurance, cost reduction, and guaranteed process safety and stability. Digital shadows enable a more comprehensive understanding and monitoring of processes on shop floor level. Thu…
View article: Multiphoton Imaging of Maturation in Tissue Engineering
Multiphoton Imaging of Maturation in Tissue Engineering Open
Donor cell-specific tissue-engineered (TE) implants are a promising therapy for personalized treatment of cardiovascular diseases, but current development protocols lack a stable longitudinal assessment of tissue development at subcellular…
View article: Mass Loss and Displacement Modeling for Multi-Axis Milling
Mass Loss and Displacement Modeling for Multi-Axis Milling Open
During the cutting process, material of the workpiece is continuously being removed by the cutting tool, which results in a reduction of mass as well as a displacement in the center of the workpiece mass. When using workpiece sided force s…
View article: Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs Open
The performance of navigation algorithms significantly determines the trajectory tracking accuracy of the guidance, navigation, and control (GNC) system of an autonomous underwater vehicle (AUV). In closed-loop operation, the interaction a…
View article: Pitfalls of testing wind turbine control algorithms on nacelle test benches
Pitfalls of testing wind turbine control algorithms on nacelle test benches Open
The validation and certification of wind turbines (WT) on nacelle test benches (NTB) is becoming increasingly important in the development process. While for certifiers the advantage lies in controlled test execution, for development depar…
View article: Challenges of applying model-based predictive wind turbine control in the field
Challenges of applying model-based predictive wind turbine control in the field Open
Wind energy plays a significant role in renewable energies. The increasing demand for wind energy has caused wind turbines (WT) to grow steadily larger, which means that the control objectives are no longer solely to maximize the energy pr…
View article: Sideslip Angle and Parameter Estimation of an Articulated Dump Truck Using a Joint Extended Kalman Filter
Sideslip Angle and Parameter Estimation of an Articulated Dump Truck Using a Joint Extended Kalman Filter Open
Automated operation of articulated dump trucks (ADT) requires information about vehicle states or parameters that are hard or expensive to measure. As a result, these states and parameters, which include the front sideslip angle and the co…
View article: Data selection and data-enabled predictive control for a fuel cell system
Data selection and data-enabled predictive control for a fuel cell system Open
Data-enabled predictive control is applied for power tracking of a fuel cell system and algorithmic aspects are investigated. For the system realization, the column subset selection algorithms norm sampling, iterative norm sampling, levera…
View article: Model-Based Controlling Approaches for Manufacturing Processes
Model-Based Controlling Approaches for Manufacturing Processes Open
The main objectives in production technology are quality assurance, cost reduction, and guaranteed process safety and stability. Digital shadows enable a more comprehensive understanding and monitoring of processes on shop floor level. Thu…
View article: Speed Sensor-Aided Navigation Filter for Robust Localization in GNSS-Denied Mining Environments
Speed Sensor-Aided Navigation Filter for Robust Localization in GNSS-Denied Mining Environments Open
The automation of mining haulage vehicles has great potential in terms of safety and economy. The performance of autonomous vehicles depends largely on highly accurate vehicle state information. Deep mines are especially challenging, as sa…
View article: Deep Learning-based Modeling of Gasoline Controlled Auto-Ignition
Deep Learning-based Modeling of Gasoline Controlled Auto-Ignition Open
Internal combustion engines face increasingly stringent pollution and greenhouse gas emission restrictions. In this regard, the technology of low-temperature combustion is the scope of research, as it can reduce pollutant emissions while i…
View article: Adaptive Pass Scheduling for Roughness Control in Cold Rolling
Adaptive Pass Scheduling for Roughness Control in Cold Rolling Open
Modern metal forming poses increasing requirements on the surface properties of metallic strips, as these determine not only appearance but also processability during subsequent processing steps such as deep drawing or painting. In this co…
View article: Pay load Stabilization for Offshore Cranes: A Unified Controller Based on Flatness
Pay load Stabilization for Offshore Cranes: A Unified Controller Based on Flatness Open
Crane-based handling operations represent a vital part of today's maritime sector. To guarantee both safe and efficient payload handling with ship cranes, payload oscillations induced by the sea swell have to be damped. Approaches for payl…
View article: Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs Open
The performance of navigation algorithms significantly determines the trajectory tracking accuracy of the guidance, navigation, and control (GNC) system of an autonomous underwater vehicle (AUV). In closed-loop operation, the interaction a…
View article: Mass Loss and Displacement Modeling for Multi-Axis Milling
Mass Loss and Displacement Modeling for Multi-Axis Milling Open
During the cutting process, material of the workpiece is continuously being removed by the cutting tool, which results in a reduction of mass as well as a displacement in the center of the workpiece mass. When using workpiece sided force s…
View article: End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control
End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control Open
In this paper, a deep neural network (DNN)-based nonlinear model predictive controller (NMPC) is demonstrated using real-time experimental implementation. First, the emissions and performance of a 4.5-liter 4-cylinder Cummins diesel engine…
View article: onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments
onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments Open
Accurate and consistent vehicle localization in urban areas is challenging due to the large-scale and complicated environments. In this paper, we propose onlineFGO, a novel time-centric graph-optimization-based localization method that fus…
View article: Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints Open
Controller tuning based on black-box optimization allows to automatically tune performance-critical parameters w.r.t. mostly arbitrary high-level closed-loop control objectives. However, a comprehensive benchmark of different black-box opt…
View article: Nonlinear model predictive control of a radiative heating process with movable radiators
Nonlinear model predictive control of a radiative heating process with movable radiators Open
A nonlinear model predictive control concept for a heating process with dominant radiation and movable radiators is derived. Such processes can be described by a nonlinear integro‐partial differential equation with full domain coupling for…
View article: Hierarchical model predictive vibration control for high‐rise structures using semi‐active tuned liquid column damper
Hierarchical model predictive vibration control for high‐rise structures using semi‐active tuned liquid column damper Open
Vibration control for high-rise structures has become more important as buildings become more lightweight. Tuned liquid column dampers are an established approach for this problem, as they do not consume high amounts of energy while achiev…
View article: Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing
Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing Open
In this contribution, a novel Reduced Order Model (ROM) formulation of the grey-box model proposed in Elkhashap et al. (2020a) for the pharmaceutical continuous vibrated fluid bed dryer (VFBD) is presented. The ROM exploits the $\mathcal{H…
View article: Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle
Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle Open
The performance of a guidance, navigation and control (GNC) system of an autonomous underwater vehicle (AUV) heavily depends on the correct tuning of its parameters. Our objective is to automatically tune these parameters with respect to a…