Herman Ramon
Katholieke Universiteit Leuven
12 Papers
123 Citations
Herman Ramon is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Discrete element method & Bending. The author has an hindex of 8, co-authored 12 publications. Previous affiliations of Herman Ramon include The Catholic University of America.
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Papers
Discrete element modelling for process simulation in agriculture
TL;DR: An overview of discrete element modelling (DEM) as a modelling technique for granular assemblies is presented in this article, focusing on DEM for agricultural products and processes and discusses important algorithmic and physical issues connected to this domain.
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Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
TL;DR: The simulation results show that the control scheme with the proposed SMC-theory-based learning algorithm is able to not only eliminate the steady-state error but also improve the transient response performance of the spherical rolling robot without knowing its dynamic equations.
Simulation of grain-straw separation by Discrete Element Modeling with bendable straw particles
Bart Lenaerts,Thomas Aertsen,Engelbert Tijskens,Bart De Ketelaere,Herman Ramon,Josse De Baerdemaeker,Wouter Saeys +6 more
TL;DR: In this article, segmented bendable straw particles have been constructed in the DEMeter++ simulation environment and their physical properties have been calibrated with realistic straw properties, and the use of these particles for modeling separation has been validated by reconstructing an existing separation experiment by Beck and comparing the simulation result with the experiment.
130
•Proceedings Article
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
Erkan Kayacan,Erdal Kayacan,Herman Ramon,Wouter Saeys +3 more
- 01 Feb 2013
TL;DR: In this article, a sliding-mode control (SMC)-theory-based learning algorithm is proposed for the control of a spherical rolling robot by using an adaptive neuro-fuzzy controller in combination with a conventional controller.
109
A discrete element approach for modelling the compression of crop stems
TL;DR: Data based contact models were developed for crop stems that combine realistic deformation behaviour with a minimal number of model parameters and validate, through comparison of simulations and measurements, individual stem and bulk compression.
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