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Application of Differential Evolution in system identification of a servo-hydraulic system with a flexible load

机译:差分演化在柔性负载伺服液压系统系统辨识中的应用

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摘要

Electro Hydraulic Servo Systems (EHSS) are commonly used in industry. The systems are non-linear in nature and their dynamic equations have several unknown parameters. System identification is a prerequisite to analysis of a dynamic system. One of the most promising novel evolutionary algorithms for solving global optimization problems is the Differential Evolution (DE) algorithm. The DE algorithm is proposed for handling non-linear constraint functions with boundary limits of variables to find the best values for the unknown parameters of a servo-hydraulic system with a flexible load. The DE algorithm guarantees fast speed convergence and accurate solutions regardless of the initial conditions of parameters. Several tests are carried out to validate the accuracy of selected unknown parameters. The results indicate good agreements between the related simulated and measured states.
机译:电子液压伺服系统(EHSS)在工业中通常使用。该系统本质上是非线性的,其动力学方程具有几个未知参数。系统识别是分析动态系统的前提。解决全局优化问题的最有希望的新颖进化算法之一是差分进化(DE)算法。提出了DE算法,用于处理变量边界限制的非线性约束函数,以找到具有灵活负载的伺服液压系统未知参数的最佳值。无论参数的初始条件如何,DE算法都可确保快速收敛和提供精确的解决方案。进行了几次测试,以验证所选未知参数的准确性。结果表明相关的模拟状态和测量状态之间具有良好的一致性。

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