Real-time altitude optimization of airborne wind energy systems using Lyapunov-based switched extremum seeking control
Real-time altitude optimization of airborne wind energy systems using Lyapunov-based switched extremum seeking control
复制标题
基于李亚普诺夫的切换极值搜索控制机载风能系统实时高度优化
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
C. Vermillion
中科院分区：
文献类型：
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作者：
A. Bafandeh;C. Vermillion
将一种基于Lyapunov的切换极值搜索(LSES)控制算法应用于机载风能系统的高度优化。针对实际应用，我们对该控制算法的稳定性和收敛性能进行了评估。要达到最佳海拔高度以最大限度地提高能源生产，需要使用能源来寻找最优海拔高度，而最佳海拔高度是连续和随机变化的。本文通过极值寻优控制的一种变体来平衡优化高度和最小化控制能量消耗的同时需求，当检测到收敛到最优高度时，减少周期扰动信号。当风速开始偏离其瞬时最佳值时，恢复该信号。由于风切变剖面(风速与高度)受连续变化的影响，这一应用代表了LSES控制中一个具有挑战性的案例研究。利用实际风切变资料的计算结果表明，LSES控制器能够显著提高固定高度和标准极值搜索策略下的净发电量。
This paper applies a Lyapunov-based switched extremum seeking (LSES) control algorithm to the application of altitude optimization of airborne wind energy systems. We evaluate the stability and convergence of this control algorithm for the application at hand. Achievement of the optimal altitude to maximize energy production requires use of energy in order to search for the optimal altitude, which is continually and randomly varying. The simultaneous desires to optimize altitude and minimize control energy consumption are balanced in this paper through a variant of extremum seeking control, where the periodic perturbation signal is reduced when convergence upon an optimal altitude is detected. The signal is reinstated when the wind speed begins to deviate from its instantaneous optimal value. Because the wind shear profile (wind speed vs. altitude) is subject to continual variations, this application represents a challenging case study in LSES control. Using real wind shear data, the results presented in this paper show that the LSES controller is successful in significantly increasing the net energy production over fixed-altitude and standard extremum seeking strategies.