By Michael Dellnitz, Roman Dumitrescu (auth.), Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer (eds.)
Intelligent technical platforms, which mix mechanical, electric and software program engineering with keep watch over engineering and complicated arithmetic, move a long way past the state-of-the-art in mechatronics and open up attention-grabbing views. between those platforms are so-called self-optimizing platforms, that are capable of adapt their habit autonomously and flexibly to altering working stipulations. Self-optimizing platforms create excessive price for instance by way of strength and source potency in addition to reliability.
The Collaborative examine middle 614 "Self-optimizing techniques and constructions in Mechanical Engineering" pursued the long term objective to open up the energetic paradigm of self-optimization for mechanical engineering and to allow others to strengthen self-optimizing platforms.
This e-book is directed to researchers and practitioners alike. It presents a layout technique for the improvement of self-optimizing platforms together with a reference strategy, equipment, and instruments. The reference technique is split into stages the domain-spanning conceptual layout and the domain-specific layout and improvement. For the conceptual layout a holistic procedure is supplied. Domain-specific equipment and instruments built particularly for the layout and improvement of self-optimizing structures are defined and illustrated by means of program examples. This booklet will let the reader to spot the potential of self-optimization and to strengthen self-optimizing structures independently.
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Additional resources for Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future
The axle is actuated by a servo-hydraulic cylinder with an integrated displacement sensor. For control, every guidance module features four eddy-current sensors, which measure the distance between the flange of the wheels and the rail heads. Two diagonally arranged sensors are coupled and the mean of both is calculated to get more precise information about the position of the axle relative to the track. This sensor data is used to calculate the current deviation to the planned trajectory and thus the required steering angle to reduce the deviation.
InTech Open Access Publisher, New York (2011) 5. : Hybrid Planning for an Air Gap Adjustment System Using Fuzzy Models. Journal of Robotics and Mechatronics 21(5), 647–655 (2009) 6. : Bayesian Networks. In: Encyclopedia of Statistics in Quality and Reliability (2007) 7. : Introduction to Model-based Optimization of Chemical Processes on Moving Horizons. , Rambau, J. ) Online Optimization of Large Scale Systems - State of the Art, pp. 295–340. Springer, Heidelberg (2001) 8. : Self-Optimization as a Framework for Advanced Control Systems.
Depending on the current situation, a suitable trajectory is derived from a calculated Pareto set by weighting the objectives. This Pareto set is calculated offline considering a model of the RailCab, the track including track irregularities, and different velocities. Online, one Pareto point is chosen according to the desired objectives of the guidance module. This Pareto point leads to the calculation of the desired trajectory. A trajectory increasing availability will be close to the center line of the clearance (to avoid flange strikes), whereas a trajectory maximizing the energy efficiency will cut curves and increases the probability of flange strikes.
Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future by Michael Dellnitz, Roman Dumitrescu (auth.), Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer (eds.)