摘要
高低温环境模拟系统主要用于大型空间可展开天线及其他大型机构的高低温极限环境下的展开功能试验及其他相关试验;系统要求测控的范围较广、精度较高且不能超调;温度控制具有典型的非线性、时变性和滞后性等特性,增加了控制的难度;为了解决常规PID控制效果不理想的问题,提出了一种新型复合控制方案——神经网络模糊PID控制算法,并将此算法与常规PID控制进行了仿真比较。
High/Low Temperature Environmental Simulation System is mainly used for the functional deploying test of the giant space deployable antenna and some large-scale structures at extreme high/low temperatures, and some other relevant tests. This project requests controlling the parameters of the system in a large range with high accuracy and no overshoot. Temperature control system has features of non-linearity, time-variant, and large delay, which seriously affect the speed and accuracy of the control. However, the conventional PID finds it difficult to achieve desired effect of control. A new scheme of compound control which is referred to as fuzzy-PID control based on neutral network was proposed. Comparison between the compound control and the PID control was made in simulation.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2015年第8期1922-1926,共5页
Journal of System Simulation
基金
国家自然科学基金(91216304)
关键词
温度控制
PID控制
模糊理论
神经网络
仿真
temperature control
PID control
fuzzy theory
neutral network
simulation
