摘要
针对硅微谐振式加速度计在复杂的常温环境下输出不稳定问题,设计了基于改进的模糊PID控制的加速度计温控系统。通过对加热片的热分析和加速度计的温度场仿真,验证了温控系统加热片放置的有效性。采用果蝇优化算法(FOA)和积分分离对模糊PID控制进行优化,给出了优化后温控系统的整体设计。搭建温控系统实验装置,对优化方案进行验证。与PID控制相比,改进的模糊PID控制算法使得温控系统收敛时间减少到60s,超调量减少了9.8℃,稳态误差减少到0.1℃。与无温控相比,加速度计在40℃恒温下启动20min后的零偏稳定性值减少了71.4%。实验结果表明:基于改进模糊PID控制的温控系统可显著提高温度控制的精度。
Aiming at problem of unstable output of silicon micro resonant accelerometer in complex at room temperature environment,a temperature control system of accelerometer based on improved fuzzy PID control is designed.Through thermal analysis of the heating plate and the temperature field simulation of the accelerometer,the effectiveness of the heating plate placement of the temperature control system is verified.The fuzzy PID control is optimized by fruit fly optimization algorithm(FOA)and integral separation,and the overall design of the optimized temperature control system is given.The optimization scheme is verified by setting up the experimental device of temperature control system.Compared with PID control,the improved fuzzy PID control algorithm reduces the convergence time of the temperature control system to 60 s,the overshoot is reduced by 9.8℃,the steady-state error is reduced to 0.1℃.Compared with no temperature control,the zero-bias stability value of accelero-meter is decreased by 71.4%after 20 minutes of starting at a constant temperature of 40℃.The experimental result show that the temperature control system based on improved fuzzy PID control can effectively improve the precision of temperature control.
作者
刘宸歌
黄丽斌
LIU Chenge;HUANG Libin(College of Instrument Science and Engineering,Southeast University,Nanjing 210096,China)
出处
《传感器与微系统》
CSCD
北大核心
2024年第3期67-70,83,共5页
Transducer and Microsystem Technologies
关键词
加速度计
温控系统
PID控制
果蝇优化算法
有限元仿真
accelerometer
temperature control system
PID control
fruit fly optimization algorithm(FOA)
finite element simulation
