Model free adaptive control for dead zone

GU Zhiguo; SUN Yangyang; ZHONG Yiqing; YAO Guopeng

English

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Model free adaptive control for dead zone

Thermal Power Generation Vol. 44, Issue 10, Pages: 86-90(2015)

更新时间：2025-09-28

- Model free adaptive control for dead zone
- 作者机构：
  
  1. 神华新疆米东热电厂
  2. 中国华能集团清洁能源技术研究院有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP273.2;TM621
- Published：2015
- 稿件说明：
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GU Zhiguo, SUN Yangyang, ZHONG Yiqing, et al. Model free adaptive control for dead zone[J]. Thermal Power Generation, 2015, 44(10): 86-90.
DOI：

GU Zhiguo, SUN Yangyang, ZHONG Yiqing, et al. Model free adaptive control for dead zone[J]. Thermal Power Generation, 2015, 44(10): 86-90. DOI：

摘要

针对被控对象的大惯性、大迟延、非线性等特性

基于PID控制抗干扰性强和无模型自适应控制(MFAC)对惯性和延迟系统具有较强适应能力的特点

设计了一种带死区的MFAC-PID串级控制系统。以米东热电厂选择性非催化还原(SNCR)烟气脱硝系统为对象

建立了系统仿真模型

采用MATLAB软件将MFAC-PID与PID控制进行仿真比较。结果表明:在阶跃扰动和模型失配情况下

带死区的MFAC-PID串级控制系统较常规PID串级控制系统

超调更小

调节时间更短;在机组负荷扰动下

带死区的MFAC-PID串级控制系统波动很小。因此

带死区的MFAC-PID串级控制系统能够更好地适应对象参数的变化

具有较强的鲁棒性和自适应性。

Abstract

According to such characteristics of the controlled object as large inertia

large delay and nonlinearity

a model free adaptive control and PED(MFAC-PID)cascade control system with dead zone was designed

on the basis of anti interference of PID control and strong adaptability of model free adaptive control(MFAC)to inertia and delay system.Moreover

taking the selective non-catalytic reduction(SNCR)flue gas denitration system in Midong Thermal Power Plant as the object

the system simulation model was established

and the MATLAB software was applied to compare the two control methods.The results show that

under conditions with step disturbance and model mismatch

the MFAC-PID cascade control system with dead zone has smaller overshoot and shorter settling time than the conventional PID cascade control system.Under unit load disturbance condition

the MFAC-PID cascade control system with dead zone has very small fluctuation.Therefore

the MFAC-PID cascade control system with dead zone can better adapt to the changes of object parameters

and has strong robustness and adaptability.

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