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The Research and Application on Parameter Identification of Hydraulic Turbine Regulating System Based on Particle Swarm Optimization and Uniform Design

机译:基于粒子群优化和均匀设计的水轮机调节系统参数辨识的研究与应用。

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This paper presents Particle Swarm Optimization method based on uniform design for the parameter identification of hydraulic turbine regulating system. We selected the number of the particle swarm, inertia weight, acceleration factors as the factors and nine level for every factor.We made the Uniform Design of four factors and nine level. And then we made nine experimental plans according to the Parameter group. We wrote program of Particle Swarm Optimization under MATLAB. According to the identification results.we selected the best Parameter group and simulated the turbine governing system on computer. Simulation results show that using the Particle Swarm Optimization method based on uniform design,we can effectively identify the parameters of hydraulic turbine regulating system.
机译:针对水轮机调节系统的参数辨识问题,提出了一种基于均匀设计的粒子群算法。我们选择粒子群的数量,惯性权重,加速度因子作为每个因子的因子和9个等级,并进行了4个因子和9个因子的统一设计。然后根据“参数”组制定了九个实验计划。我们在MATLAB下编写了粒子群优化程序。根据识别结果,选择最佳参数组,并在计算机上对水轮机调节系统进行了仿真。仿真结果表明,采用基于均匀设计的粒子群优化方法,可以有效地识别水轮机调节系统的参数。

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