Design of structures using parametric quadratic programming

1985 ◽  
Vol 1 (2) ◽  
pp. 111-114
Author(s):  
Richard J. Caron ◽  
Donald E. Grierson
Keyword(s):  
Quadratic Programming ◽  
Parametric Quadratic Programming

scholarly journals An algorithm for multi-parametric quadratic programming and explicit MPC solutions

Automatica ◽  
2003 ◽  
Vol 39 (3) ◽  
pp. 489-497 ◽  
Author(s):  
Petter Tøndel ◽  
Tor Arne Johansen ◽  
Alberto Bemporad
Keyword(s):  
Quadratic Programming ◽  
Parametric Quadratic Programming

Multi-parametric model predictive control for autonomous steering using an electric power steering system

2019 ◽  
Vol 233 (13) ◽  
pp. 3391-3402
Author(s):  
Junho Lee ◽  
Hyuk-Jun Chang
Keyword(s):  
Model Predictive Control ◽  
Quadratic Programming ◽  
Electric Power ◽  
Predictive Control ◽  
Parametric Model ◽  
Effective Control ◽  
Steering Control ◽  
Electric Power Steering ◽  
Parametric Quadratic Programming ◽  
Power Steering

Electric power steering systems have been used to generate assist torque for driver comfort. This study makes use of the functionality of electric power steering systems for autonomous steering control without driver torque. A column-type electric power steering test bench, equipped with a brushless DC motor as an assist motor, and the Infineon TriCore AURIX TC 277 microcontroller was used in this study. Multi-parametric model predictive control is based on a model predictive control–based approach that employs a multi-parametric quadratic programming technique. This technique allows the reduction of the huge computational burden resulting from the online optimization in model predictive control. The proposed controller obtains an optimal input based on multi-parametric quadratic programming at each sampling time. The weighting matrix definition, which is the main task when designing the proposed controller, was analyzed. The experimental results of the step response of the steering wheel angle verified the tracking ability of the proposed controller for different ranges of the prediction horizon. Since the computational loads are directly related to functional safety, the results of this study support the use of the multi-parametric model predictive control scheme as an effective control method for autonomous steering control.

Application of Multi-Parametric Quadratic Programming to Simulation of Deflected Wires in a Wire Saw

PAMM ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 779-780
Author(s):  
Daniel Treyer ◽  
Sebastian Gaulocher ◽  
Stefan Niederberger ◽  
Helge Rafael ◽  
Alfons Ams
Keyword(s):  
Quadratic Programming ◽  
Parametric Quadratic Programming ◽  
Wire Saw
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