摘要
Smith预估控制系统能解决工业湿法脱硫控制系统参数复杂多变、滞后严重、无法实时跟踪控制等问题,但对数学精度要求高,且实时负荷波动频率较高时,对系统控制性能会产生很大影响。针对该问题,设计自适应Smith实时跟踪控制系统,不仅能解决滞后问题,还能实现系统实时跟踪、误差快速稳定。对自适应Smith实时跟踪控制系统进行仿真实验,并与Smith预估控制系统进行对比,结果表明,自适应Smith实时跟踪控制系统能实时跟踪负荷变化,及时调节系统误差,抗干扰性和鲁棒性更优,具有较强应用价值。
Smith predictive control system is helpful in solving problems of the industrial wet desulfurization control system inclu- ding complex and varied parameters, serious hysteresis and failuire of reaql time tracking control, etc. However it has high de- mand of mathematical accuracy, which has a great impact on the control performance when the load fluctuation frequency is high. Aiming at this problem, an adaptive Smith real time tracking control system is proposed. The system can solve the problem of hysteresis while realizes the system＇s real time tracking, so that the error can quickly become stable. The adaptive Smith real- time tracking control system is simulated and compared with the Smith predictive control system. The results show that the adaptive Smith real time tracking control system can track the load changes in real time and adjust the system error in time compared with the Smith predictive control system. It is of better noise immunity and robustness and has strong application value.
作者
梁克顺
马立新
LIANG Ke-shun;MA Li-xin(School of Optical Electrical and Computer Engineering,University of Shanghai for Science ＆ Technology,Shanghai 200093,China)
出处
《软件导刊》
2018年第10期106-109,共4页
Software Guide
基金
上海市张江国家自主创新重点项目(201310-PI-B2-008)
