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Digital excitation control system utilizing swarm intelligence and an associated method of use

机译:利用群体智能的数字励磁控制系统及其使用方法

摘要

A system and method of use for self-tuning a PID controller utilized with an exciter and generator is disclosed. The system includes a power source, an exciter electrically connected to the power source, a generator that is electrically energized by the exciter, and a processor that provides a PID controller that calculates an estimated exciter time constant and an estimated generator time constant using particle swarm optimization (“PSO”) to control exciter field voltage. The particle swarm optimization (“PSO”) technique includes increasing the voltage reference by a predetermined percentage over a predetermined time period, initializing each particle position of exciter time constant and generator time constant, calculating generator voltage, performing a fitness evaluation and then obtaining and updating best values. This is followed by repeating the steps of determining the generator voltage, the fitness evaluation, and the best values over a predetermined number of iterations.
机译:公开了一种用于与励磁机和发电机一起使用的PID控制器的自整定的系统和方法。该系统包括电源,与电源电连接的励磁机,由励磁机供电的发电机以及处理器,该处理器提供PID控制器,该PID控制器使用粒子群计算估算的励磁时间常数和估算的发电机时间常数。优化(“ PSO”)以控制励磁机励磁电压。粒子群优化(PSO)技术包括在预定时间段内以预定百分比将电压基准增加,初始化励磁机时间常数和发电机时间常数的每个粒子位置,计算发电机电压,进行适应性评估,然后获得和更新最佳价值。随后,在预定的迭代次数中重复确定发电机电压,适应性评估和最佳值的步骤。

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