摘要
在超宽带变频外电场作用下,风力发电机定桨距转动惯量出现抖振和脉动,机组同步控制性能较差。提出一种改进PID神经元自适应网络同步模糊控制技术。引入自适应神经直接逆动态控制算法,构建超宽大变频作用下电机组的运行状态的逆模型,同步改变模糊控制器的输出比例因子,设计判决门限,抑制动态转动惯量抖振和静态电流脉动,精确实现风力发电机定桨距同步控制。仿真实验中,通过搭建1台3 KW的风力发电机组模型进行仿真,测试结果表明,采用该控制方法进行机组控制,具有较好的鲁棒性,能够有效抑制动态抖振和静态电流脉动,对延迟机组使用和提高机组性能具有重要意义。
According to the ultra wideband frequency under the external electric field, wind generator fixed pitch moment of inertia chattering and pulsating is influenced, and unit synchronous control performance is poor. An improved single neu-ron PID adaptive fuzzy control technology of network synchronization is proposed. The adaptive neural inverse dynamic con-trol algorithm is designed. The accurate wind generator fixed pitch synchronous control is achieved. We build a 3kW gener-ator model, the simulation results show that the control performance is good, and it has better robustness, it can effectively restrain the chattering and static dynamic current ripple. It has good application value in delaying unit age and improving the unit performance.
出处
《科技通报》
北大核心
2014年第8期44-46,共3页
Bulletin of Science and Technology