Dynamic Optimization of Ship Boiler Startup Based on Modelica and JModelica.org

2014 ◽  
Vol 662 ◽  
pp. 191-195
Author(s):  
Guo Qing Zhu ◽  
Li Yang ◽  
Gang Cheng

Apply optimization method to reduce the startup time can improve the maneuverability of vessel and reduce the operation cost of the unit. In this paper, a boiler system model was developed to capture system dynamic and the variety of stress based on the multi-domain modeling language Modelica, then the optimization model was built taking minimize the start-up time as optimization targets, constrained on the thermal and mechanical stress. The optimization process was performed on the platform of JModelica.org, exploiting the direct collocation method. Fuel quantity curve of the start up phase was optimized. Using the optimized fuel quantity curve, the boiler startup time could be reduced without reducing the drum boiler life.

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Kang An ◽  
Chuanjiang Li ◽  
Zuhua Fang ◽  
Chengju Liu

Walking efficiency is one of the considerations for designing biped robots. This article uses the dynamic optimization method to study the effects of upper body parameters, including upper body length and mass, on walking efficiency. Two minimal actuations, hip joint torque and push-off impulse, are used in the walking model, and minimal constraints are set in a free search using the dynamic optimization. Results show that there is an optimal solution of upper body length for the efficient walking within a range of walking speed and step length. For short step length, walking with a lighter upper body mass is found to be more efficient and vice versa. It is also found that for higher speed locomotion, the increase of the upper body length and mass can make the walking gait optimal rather than other kind of gaits. In addition, the typical strategy of an optimal walking gait is that just actuating the swing leg at the beginning of the step.


Sign in / Sign up

Export Citation Format

Share Document