scholarly journals A Direct Method for Optimal Control Synthesis of Manipulator Point-to-Point Motion

1984 ◽  
Vol 17 (2) ◽  
pp. 453-456 ◽  
Author(s):  
P. Marinov ◽  
P. Kiriazov
Keyword(s):  
Optimal Control ◽  
Direct Method ◽  
Control Synthesis ◽  
Optimal Control Synthesis ◽  
Point Motion ◽  
Point To Point ◽  
A Direct Method

scholarly journals FEM model-based optimal control synthesis for curing a large composite structure with CAD imported geometry

2017 ◽  
Vol 130 ◽  
pp. 07001 ◽  
Author(s):  
Sergey Shevtsov ◽  
Ilya Tarasov ◽  
Vladimir Axenov ◽  
Igor Zhilyaev ◽  
Jiing-Kae Wu ◽  
...  
Keyword(s):  
Optimal Control ◽  
Composite Structure ◽  
Control Synthesis ◽  
Fem Model ◽  
Model Based ◽  
Optimal Control Synthesis

Determining the optimum cyclic operation of adsorption chillers by a direct method for periodic optimal control

2011 ◽  
Vol 34 (4) ◽  
pp. 902-913 ◽  
Author(s):  
Manuel Gräber ◽  
Christian Kirches ◽  
Hans Georg Bock ◽  
Johannes P. Schlöder ◽  
Wilhelm Tegethoff ◽  
...  
Keyword(s):  
Optimal Control ◽  
Direct Method ◽  
Cyclic Operation ◽  
A Direct Method

scholarly journals Application and benchmarking of a direct method to optimize the fuel consumption of a diesel electric locomotive

2018 ◽  
Vol 232 (9) ◽  
pp. 2272-2289 ◽  
Author(s):  
V Macian ◽  
C Guardiola ◽  
B Pla ◽  
A Reig
Keyword(s):  
Optimal Control ◽  
Direct Method ◽  
Minimum Principle ◽  
Optimization Technique ◽  
Direct Methods ◽  
Optimization Methods ◽  
Computational Time ◽  
Electric Locomotive ◽  
Pontryagin Minimum Principle ◽  
A Direct Method

This paper addresses the optimal control of a long-haul passenger train to deliver minimum-fuel operations. Contrary to the common Pontryagin minimum principle approach in railroad-related literature, this work addresses this optimal control problem with a direct method of optimization, the use of which is still marginal in this field. The implementation of a particular direct method based on the Euler collocation scheme and its transcription into a nonlinear problem are described in detail. In this paper, this optimization technique is benchmarked with well-known optimization methods in the literature, namely dynamic programming and the Pontryagin minimum principle, by simulating a real route. The results showed that the direct methods are on the same level of optimality compared with other algorithms while requiring reduced computational time and memory and being able to handle very complex dynamic systems. The performance of the direct method is also compared to the real trajectory followed by the train operator and exhibits up to 20% of fuel saving in the example route.

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