摘要
为了及时掌握扬声器音圈温度的变化,在功率恒定、发热功率不恒定的基础上建立扬声器热模型,设计了线性二次观测器(卡尔曼滤波器),利用其自身的迭代性质和数据融合功能实现对扬声器音圈温度的预测。结果表明,在相同的环境温度与激励信号下对参数相同的扬声器进行试验,卡尔曼滤波预测的相对误差波动范围在0.01822以内,误差稳定时间为50 s,误差波动范围稳定在0.01329以内。验证了卡尔曼滤波作为扬声器音圈温度预测工具的可靠性和可行性。
In order to grasp the change of loudspeaker coil temperature in time,the loudspeaker thermal model is established on the basis of constant power and inconstant heating power,and a linear quadratic observer(Kalman filter)is designed to predict the loudspeaker coil temperature by using its iterative property and data fusion function.The experimental results show that the relative error fluctuation range of Kalman filter prediction is within 0.01822,the error stabilization time is 50 s,and the error fluctuation range after stabilization is within 0.01329.The reliability and feasibility of Kalman filter as the loudspeaker coil temperature prediction tool are verified.
作者
周静雷
董春君
ZHOU Jinglei;DONG Chunjun(School of Electronics and Information, Xi′an Polytechnic University, Xi′an 710048, China)
出处
《西安工程大学学报》
CAS
2019年第6期631-636,共6页
Journal of Xi’an Polytechnic University
基金
国家自然科学基金青年科学基金项目(61901347)
关键词
扬声器
热模型
温度预测
卡尔曼滤波
热保护
loudspeaker
thermal model
temperature prediction
Kalman filtering
thermal protection
