Genetic algorithm-based parameter identification method for dynamic friction item of pure water pipeline

• Main Authors: CAO WENZHI, YANG PING, JIANG DAN, ZHAO TIANYANG, ZHENG WEI, WANG CONGLING
• Format: Patent
• Language: Chinese; English
• Published: 16.11.2016
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a genetic algorithm-based parameter identification method for a dynamic friction item in a transient process of a pure water hydraulic pipeline. The method comprises the steps of building a transient mathematic model of the pure water pipeline; determining a feasible solution range of unknown parameters of the dynamic friction item in combination with a characteristic line method; and performing optimized identification on the parameters of the dynamic friction item of the pipeline by applying a genetic algorithm. The parameter identification method provided by the invention is practical and reliable; the transient process of the pipeline is subjected to simulation research in combination with the characteristic line method; the mathematic model of the dynamic friction item of the pure water pipeline is perfected; and a foundation is laid for further researching flow and pressure pulsation processes of a pure water hydraulic system. 本发明公开了种基于遗传算法的纯水液压管路瞬态过程中动态摩擦项的参数辨识方法。搭建纯水管路瞬态数学模型，结合