摘要
为了有效地克服化学吸附燃烧后CO2捕集系统多变量强耦合的特点,并有效抑制上游电站烟气变化对系统运行的影响,本文提出了一种基于粒子群优化算法(particle swarm optimization algorithm,PSO)的前馈多变量控制方法。该方法利用粒子群算法对逆奈奎斯特(Inverse Nyquist Array,INA)解耦方法进行自寻优改进,使其解耦效果更佳,并在此基础上加入前馈控制器,实现对可测扰动的有效抑制。仿真结果表明,该方法能使系统在满足需求的同时,具有一定的抗干扰能力。
In order to overcome strong coupling among multivariable of post-combustion CO2 capture system effectively,and to restrain the influence of fuel gas from upstream power plant,this paper proposes a feedforward multivariable control method based on particle swarm optimization algorithm(PSO).The method optimize the Inverse Nyquist Array(INA)decoupling method using PSO,which makes the system a better decoupling.After that,add the feedforward controller to achieve the effective restrain to measurable disturbance.The simulation results show that the method can make the system have certain anti-interference ability while satisfying the demand.
作者
唐炜洁
沈炯
吴啸
张俊礼
TANG Wei-Jie;SHEN-Jiong;WU-Xiao;ZHANG Jun-Li(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education,School of Energy and Environment,Southeast University,Nanjing 210096,China)
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2019年第9期1969-1975,共7页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.51506029)
关键词
粒子群
前馈控制器
CO2捕集率
多变量解耦
抑制扰动
particle swarm optimization
feedforward controller
CO2 capture rate
multivariable decoupling
restrain of disturbance
