scholarly journals Model-based control algorithm development of induction machines by using a well-defined model architecture and rapid control prototyping

2020 ◽  
Vol 102 (3) ◽  
pp. 1103-1116 ◽  
Author(s):  
Krisztián Horváth ◽  
Márton Kuslits ◽  
Szilárd Lovas
Keyword(s):  
Control Algorithm ◽  
Induction Machines ◽  
Algorithm Development ◽  
Model Based Control ◽  
Model Based ◽  
Rapid Control ◽  
Rapid Control Prototyping

scholarly journals The Development and Implementation of Model-Based Control Algorithm of Urea-SCR Dosing System for Improving De-NOx Performance and Reducing NH3-Slip

2011 ◽  
Author(s):  
Soo-Jin Jeong ◽  
Woo-Seung Kim ◽  
Jung-Kwon Park ◽  
Ho-Kil Lee ◽  
Se-Doo Oh
Keyword(s):  
Control Algorithm ◽  
Catalytic Reduction ◽  
Fluid Model ◽  
Nox Reduction ◽  
Reaction Model ◽  
Urea Solution ◽  
Model Based Control ◽  
Model Based ◽  
Nh3 Emission ◽  
Scr System

The selective catalytic reduction (SCR) system is a highly-effective aftertreatment device for NOx reduction of diesel engines. Generally, the ammonia (NH3) was generated from reaction mechanism of SCR in the SCR system using the liquid urea as the reluctant. Therefore, the precise urea dosing control is a very important key for NOx and NH3 slip reduction in the SCR system. This paper investigated NOx and NH3 emission characteristics of urea-SCR dosing system based on model-based control algorithm in order to reduce NOx. In the map-based control algorithm, target amount of urea solution was determined by mass flow rate of exhaust gas obtained from engine rpm, torque and O2 for feed-back control NOx concentration should be measured by NOx sensor. Moreover, this algorithm cannot estimate NH3 absorbed on the catalyst Hence, the urea injection can be too rich or too lean. In this study, the model-based control algorithm was developed and evaluated based on the analytic model for SCR system. The channel thermo-fluid model coupled with finely tuned chemical reaction model was applied to this control algorithm. The vehicle test was carried out by using map-based and model-based control algorithms in the NEDC mode in order to evaluate the performance of the model based control algorithm.

scholarly journals Rapid-Control-Prototyping as part of Model-Based Development of Heat Pump Dryers

2018 ◽  
Vol 24 ◽  
pp. 235-242 ◽  
Author(s):  
Jens Holtkötter ◽  
Jan Michael ◽  
Christian Henke ◽  
Ansgar Trächtler ◽  
Marcos Bockholt ◽  
...  
Keyword(s):  
Heat Pump ◽  
Model Based ◽  
Rapid Control ◽  
Rapid Control Prototyping

scholarly journals Visualization of thermal washout due to spatiotemporally heterogenous perfusion in the application of a model-based control algorithm for MR-HIFU mediated hyperthermia

2021 ◽  
Vol 38 (1) ◽  
pp. 1174-1187
Author(s):  
Lukas Christian Sebeke ◽  
Pia Rademann ◽  
Alexandra Claudia Maul ◽  
Sin Yuin Yeo ◽  
Juan Daniel Castillo Gómez ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Model Based Control ◽  
Model Based

Development and Testing of a Control Algorithm to Assist Drive-Off in the Gradient-A Rapid Control Prototyping Approach

2015 ◽  
Author(s):  
Saravanakumar Subramanian ◽  
Periasamy Thangavel ◽  
Fathima Safna M I ◽  
Kannan Sornam ◽  
Ghodke Pundlik Rambhaji ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Rapid Control ◽  
Rapid Control Prototyping

scholarly journals Large Aberration Correction by Magnetic Fluid Deformable Mirror with Model-Based Wavefront Sensorless Control Algorithm

2019 ◽  
Vol 20 (15) ◽  
pp. 3697
Author(s):  
Xiang Wei ◽  
Yuanyuan Wang ◽  
Zhan Cao ◽  
Dziki Mbemba ◽  
Azhar Iqbal ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Magnetic Fluid ◽  
Control Algorithm ◽  
Imaging System ◽  
Colloidal Suspension ◽  
Deformable Mirror ◽  
Model Based Control ◽  
Model Based ◽  
Proposed Model ◽  
Ferromagnetic Particles

Magnetic fluid is a stable colloidal suspension of nano-sized, single-domain ferri/ferromagnetic particles dispersed in a liquid carrier. The liquid can be magnetized by the ferromagnetic particles aligned with the external magnetic field, which can be used as a wavefront corrector to correct the large aberrations up to more than 100 µm in adaptive optics (AO) systems. Since the measuring range of the wavefront sensor is normally small, the application of the magnetic fluid deformable mirror (MFDM) is limited with the WFS based AO system. In this paper, based on the MFDM model and the relationship between the second moment (SM) of the aberration gradients and the far-field intensity distribution, a model-based wavefront sensorless (WFSless) control algorithm is proposed for the MFDM. The correction performance of MFDM using the model-based control algorithm is evaluated in a WFSless AO system setup with a prototype MFDM, where a laser beam with unknown aberrations is supposed to produce a focused spot on the CCD. Experimental results show that the MFDM can be used to effectively compensate for unknown aberrations in the imaging system with the proposed model-based control algorithm.

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