Performance of an E-SDM/FDD system using an iterative weight optimization and control algorithm

Author(s):  
Yusuke Oki ◽  
Osamu Muta ◽  
Hiroshi Furukawa
Author(s):  
Vladimir V. Vantsevich ◽  
Jesse R. Paldan ◽  
Blair K. Farley

This paper presents a new method for optimizing mobility of a 4×4 hybrid-electric vehicle through control of wheel power distribution. First, a mobility index is used to calculate optimal power distribution for improved mobility using a Lagrangian multiplier. A control algorithm is developed for altering the wheel power distribution in order to follow a trajectory path which is calculated for optimum mobility. An inverse vehicle dynamics math model of a 4×4 vehicle is used in which a task is assigned as a required velocity to test in two simulated curvilinear maneuvers.


2018 ◽  
Vol 69 (10) ◽  
pp. 2633-2637
Author(s):  
Raluca Dragomir ◽  
Paul Rosca ◽  
Cristina Popa

The main objectives of the present paper are to adaptation the five-kinetic model of the catalytic cracking process and simulation the riser to predicts the FCC products yields when one of the major input variable of the process is change. The simulation and adaptation are based on the industrial data from Romanian refinery. The adaptation is realize using a computational method from Optimization Toolbox from Matlab programming language. The new model can be used for optimization and control of FCC riser.


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