摘要
针对近地层微气候环境模拟室实验室温度场模拟需要,设计温度控制系统。根据温度控制系统的特点和恒温、变温的控制目标,采用二段式控制方式:在远离设定值时采用Bang-Bang控制;在接近设定值时采用自校正控制,其中,恒温控制时,仅考虑自校正控制,进行动态轨迹控制时,引入迭代学习,将优化的设定值分段加在系统上。结果显示,采用的二段式控制策略,能够提高系统快速性。特别是变温控制下,实际值能够跟踪期望轨迹,提出的控制策略可以改善系统动态响应,提高控制精度。实现温度的有效控制,达到了预期目标。
A temperature control system was designed for the surface layer micro-climate environment simulation laboratory. According to control target and characteristics of temperature control system, two control strategies are adopted: Bang-Bang control when actual temperature away from set value and the self-tuning control when actual temperature close to set value. For constant temperature setpoints, only the self-tuning control algorithm is considered. For dynamic temperature control, iterative learning control which could optimize temperature set value is introduced with self-turning PID control. The results show that, the two-section control strategy could improve the system rapidity. Especially for the dynamic temperature control, the actual value could track a desired trajectory. The strategy could assure to achieve the expected goal.
出处
《控制工程》
CSCD
北大核心
2015年第1期170-175,共6页
Control Engineering of China
基金
国家自然科学基金(51208059)
浙江大学流体动力与机电系统国家重点实验开放基金(GZKF-201215)
关键词
环境模拟
控制器
温度
environment simulation
controller
temperature