Conditional integral sliding mode control for SCR denitrification system based on Smith predictor
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Conditional integral sliding mode control for SCR denitrification system based on Smith predictor
Thermal Power GenerationVol. 46, Issue 4, Pages: 93-98(2017)
作者机构:
1. 华北电力大学控制与计算机工程学院
2. 国网河南省电力公司电力科学研究院
作者简介:
基金信息:
DOI:
CLC:X773
Published:2017
稿件说明:
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FU Jiaqi, GUO Weimin, LIU Yanquan, et al. Conditional integral sliding mode control for SCR denitrification system based on Smith predictor[J]. Thermal power generation, 2017, 46(4): 93-98.
DOI:
FU Jiaqi, GUO Weimin, LIU Yanquan, et al. Conditional integral sliding mode control for SCR denitrification system based on Smith predictor[J]. Thermal power generation, 2017, 46(4): 93-98.DOI:
Conditional integral sliding mode control for SCR denitrification system based on Smith predictor
For such characteristics as large time delay and nonlinear of ammonia spraying control in selective catalytic reduction(SCR) denitrification system
a control method based on Smith predictor and conditional integral sliding mode control was proposed. In this method
the Smith predictor was used to compensate the system delay and shorten the adjustment time
the robustness of the sliding mode control(SMC) was applied to overcome the influence of controlled object environment changes and external disturbance on the system
and the conditional integral sliding surface was used in the SMC to eliminate the steady-state error and to restrain chattering in the system. Moreover
the SCR flue gas denitrification system with general PID control
sliding mode control based on the Smith predictor
conventional integral sliding mode control based on the Smith predictor and conventional integral sliding mode control based on the Smith predictor was simulated at 100%
80% and 60% of the actual load. The simulation results show that
for the general PID control
the regulation speed is slow
the overshoot is large and the anti-disturbance ability is poor. All the three kinds of sliding mode control have stronger robustness to the disturbance
the system has strong stability after the disturbance
the adjustment time is short and the fluctuation range is very small. For the conventional integral SMC based on the Smith predictor
the regulation speed is fast and the overshoot is small
the system has strong stability after the disturbance and the change range is small
so the control effect is better than the other three control modes.