摘要
研究神经内分泌系统肾上腺激素的调控性能问题,提出了一种新颖的智能无模型自适应控制器(IMFAC),并给出了控制参数的调整方法。智能控制器有两级控制体系结构,一级控制器依据肾上腺素分泌规律,根据实时控制偏差动态调整二级控制器的控制参数,二级控制器采用无模型自适应控制器(MFAC),从而提高了MFAC的稳定性和自适应性。仿真结果表明:相对于PID控制器,IMFAC控制器具有较好的快速调节能力和稳定性。
Based on the adrenal hormone modulation of neuroendocrine system, a novel intelligent model free a- daptive controller （IMFAC） was proposed and a method to adjust its control parameters was provided. The IMFAC consists of two controllers. Based on the adrenal hormone release law, the primary controller can adjust the control parameters of the secondary controller dynamically according to the real time control error. A model free adaptive con- troller was selected as the secondary controller. Thus, the control stability and self-adaptation of MFAC can be im- proved. The simulation results demonstrate that the quick adjustment and stability of the IMFAC are better compared with PID controller.
出处
《计算机仿真》
CSCD
北大核心
2014年第3期363-366,共4页
Computer Simulation
基金
国家自然科学基金重点项目(61134009)
长江学者和创新团队发展计划(IRT1220)
上海市优秀学术带头人计划项目(11XD1400100)
上海领军人才专项资金
上海市科学技术委员会重点基础研究项目(13JC1407500
11JC1400200)
中央高校基本科研业务费专项资金资助
关键词
无模型自适应控制
神经内分泌系统
肾上腺激素调控
智能控制
Model free adaptive control
Neuroendocrine system
Adrenal hormone modulation
Intelligent control
