A Dedicated Control Design Methodology for Improved Tilting Train Performance

2020 ◽  
pp. 72-81
Author(s):  
Hugo Magalhães ◽  
Pedro Antunes ◽  
João Pombo ◽  
Jorge Ambrósio
Keyword(s):  
Design Methodology ◽  
Control Design ◽  
Tilting Train

scholarly journals A multi-channel $$\varvec{H}_\infty $$ preview control approach to load alleviation design for flexible aircraft

2021 ◽  
Author(s):  
Ahmed Khalil ◽  
Nicolas Fezans
Keyword(s):  
Design Methodology ◽  
Control Design ◽  
Doppler Lidar ◽  
Preview Control ◽  
Reduced Order ◽  
Control Approach ◽  
Structural Fatigue ◽  
Trade Offs ◽  
Gust Load Alleviation ◽  
Near Future

AbstractGust load alleviation functions are mainly designed for two objectives: first, alleviating the structural loads resulting from turbulence or gust encounter, and hence reducing the structural fatigue and/or weight; and second, enhancing the ride qualities, and hence the passengers’ comfort. Whilst load alleviation functions can improve both aspects, the designer will still need to make design trade-offs between these two objectives and also between various types and locations of the structural loads. The possible emergence of affordable and reliable remote wind sensor techniques (e.g., Doppler LIDAR) in the future leads to considering new types of load alleviation functions as these sensors would permit anticipating the near future gusts and other types of turbulence. In this paper, we propose a preview control design methodology for the design of a load alleviation function with such anticipation capabilities, based on recent advancements on discrete-time reduced-order multi-channel $$H_\infty $$ H ∞ techniques. The methodology is illustrated on the DLR Discus-2c flexible sailplane model.

Control-design methodology for drinking-water treatment processes

2010 ◽  
Vol 10 (2) ◽  
pp. 121-127 ◽  
Author(s):  
Kim van Schagen ◽  
Luuk Rietveld ◽  
Alex Veersma ◽  
Robert Babuška
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Design Methodology ◽  
Treatment Plant ◽  
Control Design ◽  
Drinking Water Treatment ◽  
Water Treatment Plant ◽  
Process Characteristics ◽  
Chemical Usage ◽  
Treatment Step

The performance of a drinking-water treatment plant is determined by the control of the plant. To design the appropriate control system, a control-design methodology of five design steps is proposed, which takes the treatment process characteristics into account. For each design step, the necessary actions are defined. Using the methodology for the pellet-softening treatment step, a new control scheme for the pellet-softening treatment step has been designed and implemented in the full-scale plant. The implementation resulted in a chemical usage reduction of 15% and reduction in the maintenance effort for this treatment step. Corrective actions of operators are no longer necessary.

The CRONE Suspension: Modelling and Stability Analysis

2003 ◽  
Author(s):  
Xavier Moreau ◽  
Olivier Altet ◽  
Alain Oustaloup
Keyword(s):  
Stability Analysis ◽  
Transfer Function ◽  
Design Methodology ◽  
Control Design ◽  
Internal Stability ◽  
Function Modelling ◽  
Robust Control Design ◽  
Force Displacement ◽  
Crone Suspension ◽  
Transfer Function Modelling

The CRONE suspension, French acronym of “suspension a` Comportement Robuste d’Ordre Non Entier”, results from a traditional suspension system whose spring and damper are replaced by a mechanical and hydropneumatic system defined by a fractional (so-called non-integer) order force-displacement transfer function. Modelling, frequency-domain robust control design methodology and internal stability analysis are presented in this paper.

Predictive Current Control Design Methodology for DC-DC Basic Topologies: Buck, Boost and Buck-Boost Converters

2021 ◽  
Author(s):  
Marcos Yair Bote-Vazquez ◽  
Eduardo Salvador Estevez-Encarnacion ◽  
Jazmin Ramirez-Hernandez ◽  
Leobardo Hernandez-Gonzalez ◽  
Oswaldo Ulises Juarez-Sandoval
Keyword(s):  
Design Methodology ◽  
Control Design ◽  
Current Control ◽  
Boost Converters

Dynamic modeling and control design for a parallel-mechanism-based meso-milling machine tool

Robotica ◽  
2013 ◽  
Vol 32 (4) ◽  
pp. 515-532 ◽  
Author(s):  
Adam Y. Le ◽  
James K. Mills ◽  
Beno Benhabib
Keyword(s):  
Machine Tool ◽  
Dynamic Modeling ◽  
Design Methodology ◽  
Controller Design ◽  
Convex Combination ◽  
Control Design ◽  
Milling Machine ◽  
Modeling And Control ◽  
Kinematic Mechanisms ◽  
And Control

SUMMARYA novel rigid-body control design methodology for 6-degree-of-freedom (dof) parallel kinematic mechanisms (PKMs) is proposed. The synchronous control of PKM joints is addressed through a novel formulation of contour and lag errors. Robust performance as a control specification is addressed. A convex combination controller design approach is applied to address the problem of simultaneously satisfying multiple closed-loop specifications. The applied dynamic modeling approach allows the design methodology to be extended to 6-dof spatial PKMs. The methodology is applied to the design of a 6-dof PKM-based meso-milling machine tool and simulations are conducted.

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