摘要
针对超临界机组汽温控制过程中的大延迟、大惯性问题,通过—种近似滑动窗滤波器(approximate sliding window filter,ASWF)构造出高性能PI控制器(high performance proportion integration,HPPI)和超前观测器(high performance leading observer,HPLO)。将HPPI用于大延迟、大惯性过程控制,能够更有效地提高跟踪常值扰动的效率,更好地消除系统稳态偏差。HPL0能够提前获取系统响应的信息,极大提高过程控制的性能。动静态分开作用的微分前馈策略可以解决大幅变负荷过程中微分前馈的扰动问题,优化汽温调节系统的动态特性。通过仿真试验和实际应用,有效验证了NFC和微分前馈策略的有效性。
In order to solve the large delay and large inertia problem in the supercritical unit steam temperature control process,a high performance proportion integration(HPPI)and high performance leading observer(HPLO)are constructed by an approximate sliding window filter(ASWF).HPPI is used for large delay and large inertia process control,which can more effectively improve the efficiency of tracking constant value disturbance and better eliminate system steady state deviation.HPLO can obtain the information of the system response in advance and improves the performance of the process control greatly.The differential feedforward strategy of dynamic and static separation can solve the differential feedforward disturbance problem in the large load change process and optimize the dynamic characteristics of the steam temperature regulation system.The NFC and differential feedforward strategy are proved to be effective through the simulation test and practical applications.
出处
《自动化博览》
2020年第1期70-73,共4页
Automation Panorama1
关键词
超临界
汽温控制
近似滑动窗滤波器
新型基础控制器
微分前馈策略
Supercritical
Steam temperature control
Approximate sliding window filter
New basic controller
Differential feedforward strategy
