摘要
采用当前方法对船舶应急电站输出频率进行控制,对突发扰动控制效果较差,难以船舶输出频率的精准控制。提出一种基于自抗扰神经元网络的船舶应急电站输出频率自动控制技术方法。通过空间矢量脉宽调制模块将船舶机电电压矢量转换为开关信号,进一步减小预测模型参数误差对船舶机电系统稳定性的影响。引入自抗扰神经元网络对船舶机电一体化控制系统进行自适应训练,得到船舶机电系统外环控制器的适应度函数,以该函数为依据完成对船舶应急电站输出频率自动控制优化。实验仿真证明,所提方法可以对船舶应急电站输出频率控制进行精准预测,能够有效实现输出频率的自动控制。
The current method is used to control the output frequency of ship emergency power station,which has poor control effect on sudden disturbance and is difficult to control the output frequency accurately. An automatic frequency control method for ship emergency power station based on ADRC neural network is proposed. By using the space vector pulse width modulation module, the electrical voltage vector of the ship is converted to the switch signal to further reduce the influence of the prediction model's parameter error on the stability of the ship mechanical and electrical system. The adaptive training of the marine electromechanical integrated control system is introduced by the self disturbance rejection neuron network, and the fitness function of the outer ring controller is obtained. The function is based on this function to optimize the automatic control of the output frequency of the ship's emergency power station. Experimental simulation shows that the proposed method can accurately predict output frequency control of ship emergency power station, and can effectively control output frequency automatically.
出处
《舰船科学技术》
北大核心
2018年第5X期73-75,共3页
Ship Science and Technology
关键词
船舶应急电站
小区域碰撞
输出频率
自动控制
marine emergency power station
small area collision
output frequency
auto-control
