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pso algorithm
相关语句
  pso算法
    Aiming at the disadvantage of classical PSO algorithm, this paper improves PSO algorithm and puts forward a new improved algorithm. It uses the new improved algorithm to optimize the standard test functions and analyzes the test results, and finds the test results are better than before.
    针对标准粒子群算法的一些缺点进行改进,本文提出了一种新的改进的粒子群优化算法,将该算法用几个标准测试函数进行测试,结果表明该算法优化结果的指标参数比常规PSO算法有所提高。
短句来源
  微粒群算法
    Optimization Design of Hydro Turbine Governor Parameters by PSO Algorithm
    用微粒群算法实现水轮机调节器参数的优化设计
短句来源
    When parameters of hydro turbine PID governor are optimized by using PSO algorithm, the experiments show excellent results in term of control accuracy and effectiveness.
    仿真试验结果表明,用微粒群算法优化水轮机调节器参数,可以获得满意的控制精度和效率.
短句来源
  “pso algorithm”译为未确定词的双语例句
    3. An improved particle swarm optimization (PSO) algorithm was designed. And a weighted ITAE index of turbine speed error was taken as the fitness function of the improved PSO algorithm.
    3.提出了一种新的改进的粒子群优化算法,并以水轮机转速偏差的加权ITAE指标作为改进粒子群优化算法的适应度函数。
短句来源
    The computer simulation results indicate that the application of the improved PSO algorithm for hydraulic turbine nonlinean control strategy parameters or PHD gains tuning is effective.
    计算结果表明,改进粒子群优化算法无论是对水力机组非线性控制策略还是对水轮机常规PID控制规律都是一种简单有效的参数优化方法。
短句来源
    The digital simulation results performed on an actual hydropower plant in China indicate that the PID control law optimised by the improved PSO algorithm can effectively improve the dynamic performance of hydraulic transients with fast response and strong robustness especially on isolated operation conditions.
    仿真结果表明利用改进PSO优化算法优化的PID控制规律能有效改善孤网运行条件下水轮机调节系统过渡过程的动态性能。
短句来源
    An improved PSO algorithm was presented and applied to optimal the PID gains tuning of hydraulic turbogenerators speed governor. The ITAE criterion of hydraulic turbogenerators speed errors was taken as the fitness function of the improved PSO algorithm.
    文中提出一种改进的PSO优化算法,并将该算法应用于水轮发电机组PID调速器参数的优化设计,以水轮发电机组转速偏差的ITAE指标作为改进PSO优化算法的适应度函数。
短句来源
    The digital simulation results performed on an actual hydropower plant in China indicate that the PID control law optimised by the improved PSO algorithm can effectively improve the dynamic performance of hydraulic transients with fast response and strong robustness especially on isolated operation conditions.
    以我国某水电站的真实数据对经过优化后的PID控制规律进行计算机仿真。 仿真结果表明利用改进PSO优化算法优化的PID控制规律能有效改善孤网运行条件下水轮机调节系统过渡过程的动态性能。
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  pso algorithm
The ability of tracking changed PMD using PSO algorithm was also investigated.
      
The Particle Swarm Optimization (PSO) algorithm was introduced in adaptive PMD compensation.
      
Two-stage adaptive PMD compensation in 40 Gb/s OTDM optical communication system using PSO algorithm
      
Subsequently the Particle Swarm Optimization (PSO) algorithm is applied in order to select the "the best" ANN for the future investment decisions and to adapt the weights of other networks towards the weights of the best network.
      
The new methods are based on the hierarchical PSO (H-PSO) and a new type of H-PSO algorithm, called Partitioned Hierarchical PSO (PH-PSO).
      
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In general, PID control algorithm remains the most popular approach to hydro turbine governor systems. To gain optimization parameters of hydro turbine PID governor, this paper interprets the approach of optimization designing that uses the Particle Swarm Optimization (PSO) algorithm. PSO is a new evolutionary algorithm and is simple in structure and easy to operate. When parameters of hydro turbine PID governor are optimized by using PSO algorithm, the experiments show excellent...

In general, PID control algorithm remains the most popular approach to hydro turbine governor systems. To gain optimization parameters of hydro turbine PID governor, this paper interprets the approach of optimization designing that uses the Particle Swarm Optimization (PSO) algorithm. PSO is a new evolutionary algorithm and is simple in structure and easy to operate. When parameters of hydro turbine PID governor are optimized by using PSO algorithm, the experiments show excellent results in term of control accuracy and effectiveness. The results are superior to the ones obtained by improved genetic algorithm in term of response time, output overshoot and undershoot for a step reference.

目前水轮机调节系统PID参数整定一般都是根据经验公式或现场反复试验获取,它往往不易获得最佳参数.为了保证获得最优水轮机PID调节器参数,本文研究了利用微粒群优化(PSO)算法进行参数优化设计的新方法.PSO算法是一种新的仿生优化方法,具有结构和运算简单的优点.仿真试验结果表明,用微粒群算法优化水轮机调节器参数,可以获得满意的控制精度和效率.与改进的遗传算法优化结果相比,各项控制性能指标(如调节时间、负调、超调量等)都优于遗传算法整定的PID调节器.

An improved PSO algorithm was presented and applied to optimal the PID gains tuning of hydraulic turbogenerators speed governor. The ITAE criterion of hydraulic turbogenerators speed errors was taken as the fitness function of the improved PSO algorithm. The digital simulation results performed on an actual hydropower plant in China indicate that the PID control law optimised by the improved PSO algorithm can effectively improve the dynamic performance of hydraulic transients with fast response...

An improved PSO algorithm was presented and applied to optimal the PID gains tuning of hydraulic turbogenerators speed governor. The ITAE criterion of hydraulic turbogenerators speed errors was taken as the fitness function of the improved PSO algorithm. The digital simulation results performed on an actual hydropower plant in China indicate that the PID control law optimised by the improved PSO algorithm can effectively improve the dynamic performance of hydraulic transients with fast response and strong robustness especially on isolated operation conditions.

文中提出一种改进的PSO优化算法,并将该算法应用于水轮发电机组PID调速器参数的优化设计,以水轮发电机组转速偏差的ITAE指标作为改进PSO优化算法的适应度函数。以我国某水电站的真实数据对经过优化后的PID控制规律进行计算机仿真。仿真结果表明利用改进PSO优化算法优化的PID控制规律能有效改善孤网运行条件下水轮机调节系统过渡过程的动态性能。

In order to solve "curse of dimensionality" of traditional dynamic programming applied to optimization operation of hydropower station,a stochastic global optimization algorithm,Particle Swarm Optimization(PSO) algorithm,and its apply to short-term optimization operation of hydropower station are proposed in this paper. Compared with the dynamic programming,this method is simple, easy to be programmed,and finds the global optimum quickly. Therefore, an efficient method is provided for short-term...

In order to solve "curse of dimensionality" of traditional dynamic programming applied to optimization operation of hydropower station,a stochastic global optimization algorithm,Particle Swarm Optimization(PSO) algorithm,and its apply to short-term optimization operation of hydropower station are proposed in this paper. Compared with the dynamic programming,this method is simple, easy to be programmed,and finds the global optimum quickly. Therefore, an efficient method is provided for short-term optimization operation of hydropower station by "separate price on separate time".

针对传统的动态规划方法求解水库优化调度问题存在的“维数灾”问题,给出一种全局随机优化算法[1]——粒子群优化算法并应用于水库日优化调度问题中。相对于动态规划,该算法原理简单,易编程,占用计算机内存少,能以较快的速度收敛到全局最优解,从而为分时电价环境下的水电站日优化调度问题提供了一种有效的解决办法。

 
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