基于系统SOC理论的直流运行方式及控制参数分析

为了研究直流输电对交直流系统自组织临界性(SOC)的影响,提出包含系统完整动态特性的连锁故障动态仿真模型,计及了紧急控制保护装置及直流系统的概率动作特性.应用该模型对2010年华东电网实际系统进行连锁故障蒙特卡洛仿真,在不同的直流运行方式及控制参数下,计算系统的停电功率-停电概率幂律曲线,分析直流运行方式及控制参数对系统自组织临界性的影响.结果表明,在某些情况下选取合适的直流运行方式及控制参数可以有效防范连锁故障及大停电的发生.

基于单片机的直流电机控制参数测定系统的设计

本系统是针对直流电机外部控制参数进行测定的测量系统。系统包括单片机模块、可变电压PWM驱动模块、测速模块等电路模块以及负载装置构成,通过测量电压—转速、占空比—转速、负载—转速的关系测定直流电机在特定条件下的控制参数,达到对电机运行控制参数的精确测量。实测表明,系统测量精度较高,可用于电机的选型,亦可用于多电机系统的配对选择。

Genetic-fuzzy HEV control strategy based on driving cycle recognition

A genetic-fuzzy HEV control strategy based on driving cycle recognition （DCR） was built. Six driving cycles were selected to represent different traffic conditions e.g. freeway, urban, suburb. A neural algorithm was used for traffic condition recognition based on ten parameters of each driving cycle. The DCR was utilized for optimization of the HEV control parameters using a genetic-fuzzy approach. A fuzzy logic controller （FLC） was designed to be intelligent to manage the engine to work in the vicinity of its optimal condition. The fuzzy membership function parameters were optimized using the genetic algorithm （GA） for each driving cycle. The result is that the DCR_ fuzzy controller can reduce the fuel consumption by 1. 9%, higher than only CYC _ HWFET optimized fuzzy （0.2%） or CYC _ WVUSUB optimized fuzzy （0.7%）. The DCR_ fuzzy method can get the better result than only optimizing one cycle on the complex real traffic conditions.