A5074580196- Iterative Learning Control Systems
- Robotic Mechanisms and Dynamics
- Manufacturing Process and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Sensorless Control of Electric Motors
- Control Systems in Engineering
- Advanced machining processes and optimization
- Mechanical Engineering and Vibrations Research
- Hydraulic and Pneumatic Systems
- Dynamics and Control of Mechanical Systems
- Refrigeration and Air Conditioning Technologies
- Advanced Measurement and Metrology Techniques
- Design Education and Practice
University of Antwerp
2020-2024
Flanders Make (Belgium)
2023
Trajectory optimization of position-controlled servo systems driving repetitive tasks is very appealing in research as it allows for more performant and efficient machines without any additional investment hardware. In particular, monoactuator with position-dependent system properties have received much attention the literature they represent a large part mechatronic can easily be modeled existing CAD packages. Although techniques position profile are well documented, most based on heuristic...
The design optimization of mechanisms is promising as it results in more energy-efficient machines without compromising performance. However, machine builders do not apply state-of-the-art methods, these algorithms require case-specific theoretical analysis. Moreover, the synthesis approaches literature predominantly utilize heuristic optimizers, leading to suboptimal local minima. This paper introduces a widely applicable workflow, guaranteeing global optimum. constraints describing...
Design optimization of mechanisms is a promising research area as it results in more energy-efficient machines without compromising performance. However, machine builders do not actually use the potential described literature, these methods require too much theoretical analysis. Therefore, this paper proposes novel industrial applicable approach that enables design reciprocating using CAD models.The 3D multi-body software used to perform motion simulations, from which objective value samples...
This research delves into optimizing mechanism design, with an emphasis on the energy efficiency and expansive design possibilities of reciprocating mechanisms. It investigates how to efficiently integrate Computer-Aided Design (CAD) simulations Bayesian Optimization (BO) a constrained space, aiming enhance optimization process beyond confines traditional kinematic dynamic analysis. The study sets out create novel framework that merges CAD BO strategy. Initially, feasibility is assessed...
This study addresses the challenge of mechanism design optimization, particularly focusing on energy efficiency and space reciprocating mechanisms. The research question centers how to effectively utilize Computer-Aided Design (CAD) simulations alongside Bayesian optimization (BO) a constrained streamline process, overcoming limitations traditional kinematic dynamic analysis methods. objective is investigate develop novel framework that integrates CAD-based with BO approach. To achieve this,...
Design optimization of mechanisms is a promising research area as it results in more energy-efficient machines without compromising performance. However, machine builders do not actually use the potential described literature these methods require too much theoretical analysis. This paper introduces convenient workflow allowing wide industrial adoption, by using CAD models. The 3D multi-body software used to perform motion simulations, from which objective value samples can be extracted....
A resonance and an antiresonance peak characterize many industrial mechanisms dynamics driven by a Permanent Magnet Synchronous Motor (PMSM). The presence of the can lead to vibrations instability system. On that account, advanced methods exist tune speed Proportional Integral (PI) controller based on adaptive or fuzzy theory. However, those require expertise in control theory are not available commercial drives. For that, this paper proposes Bode-based method for PI parameters selection...
A resonance and an antiresonance peak characterize many industrial mechanisms dynamics driven by a Permanent Magnet Synchronous Motor (PMSM). The presence of the can lead to vibrations instability system. On that account, advanced methods exist tune speed Proportional Integral (PI) controller based on adaptive or fuzzy theory. However, those require expertise in control theory are not available commercial drives. For that, this paper proposes Bode-based method for PI parameters selection...
Design optimization of mechanisms is a promising research area as it results in more energy-efficient machines without compromising performance. However, machine builders do not actually use the design methods described literature these algorithms require too much theoretical analysis. Moreover, synthesis approaches predominantly utilize heuristic optimizers leading to suboptimal local minima. This introduces convenient workflow allowing wide industrial adoption, while guaranteeing reveal...