翼伞发电系统的GPU并行轨迹优化  

GPU based trajectory parallel optimization of tethered airfoils for wind energy generator

作　　者：张利民[1] 孙明玮[2] 刘东辉[2] 全胜[3] 陈增强[2] 

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000 [2]南开大学计算机与控制工程学院,天津300071 [3]北京机电工程研究所,北京100074

出　　处：《电机与控制学报》2015年第8期88-94,共7页Electric Machines and Control

基　　金：国家自然科学基金(61174094;61273138);教育部优秀新世纪人才支持计划研究项目(NCET-10-0506)

摘　　要：高空风能发电是一种新型的清洁能源生产方式。针对这种非常规的带有特定目标函数优化的轨迹设计问题,采用预测控制是一条可行途径,但该方法目前需要事先离线求解,计算量极大,不具有在线自适应能力。提出了一种基于混沌的实时轨迹优化策略,以克服上述算法的不足。这是一维变量滚动次优化问题,利用均匀采样结合混沌搜索,给出了过程约束下的优化方法。通过采用数值算法的并行化,提高了在线计算效率。半实物仿真试验结果说明了该算法的有效性。Wind energy at high altitudes is a new approach to generate clean energy. The predictive con-trol in the offline manner was previously employed to handle the problem of trajectory design with uncon-cventionally given objective function, however it is time-consuming and lacks of adaptability and flexibil-ity to varying aerodynamic parameters. A receding horizon optimization method for the tethered foil gener-ator based on an online searching strategy was presented. The nonlinear optimization problem was approx-imately reformulated to a univariate receding horizon sub-optimal issue in a short interval. By using uni-form sampling and chaotic search approaches, the sub-optimal solution, subject to the physical con-straints, was obtained. The proposed method is parallelly implemented by graphic processing unit （ GPU） to raise its online calculation efficiency. The hardware-in-the-loop simulation result demonstrates its effec-tiveness.

关 键 词：翼伞发电系统 轨迹优化 滚动时域 混沌 图像处理器 并行计算 GRAPHICAL processing unit ( GPU) 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程] TP273[自动化与计算机技术—检测技术与自动化装置]