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基于改进Levenberg-Marquardt算法的燃气轮机特性拟合优化 被引量:9

Optimal fitting of gas turbine performance based on improved Levenberg-Marquardt method
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摘要 基于改进的Levenberg-Marquardt算法,对燃气轮机部件精确特性获取中的特性曲线拟合问题进行了研究,引入一种新的阻尼因子λ迭代方法,使改进的Levenberg-Marquardt算法能很快接近最优解,并能跳出局部最优的陷阱,在保证解质量的同时提高了收敛速度。建立了燃气轮机特性拟合数学模型,并应用改进Levenberg-Marquardt算法获取燃气轮机部件的特性方程。实例计算结果表明:较普通Levenberg-Marquardt而言,改进的Levenberg-Marquardt算法拟合效果更好。 New methods of curve fitting for obtaining the precise performance of the gas turbine were given based on an improved Levenberg-Marquardt method. A new damper factor was applied to itera- tion to make the improved Levenberg-Marquardt algorithm up to the optimal solution quickly and a- way from the trap of locally optimal solution. It could insure the solution quality and improve the con- vergence speed. The fitting model was established and the algorithm was used to acquire the precise performance. The results show that the fitting method of the improved Levenberg-Marquardt-based performance is more effective.
出处 《海军工程大学学报》 CAS 北大核心 2012年第4期35-40,共6页 Journal of Naval University of Engineering
基金 国家部委基金资助项目(40101020102)
关键词 燃气轮机 拟合 优化 LEVENBERG-MARQUARDT算法 gas turbine fitting optimization Levenberg-Marquardt method
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