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作 者:江钊 王志国 刘飞 JIANG Zhao;WANG Zhi-guo;LIU Fei(Key Laboratory of Advanced Process Control for Light Industry,Ministry of Education,Jiangnan University,Wuxi Jiangsu 214122,China)
机构地区:[1]江南大学轻工过程先进控制教育部重点实验室,江苏无锡214122
出 处:《计算机仿真》2021年第7期391-396,432,共7页Computer Simulation
基 金:国家自然科学基金项目(61773183)。
摘 要:实际工业控制系统中,调节阀粘滞会造成控制回路性能下降,严重时甚至振荡。提出来一种新的阀门粘滞检测和量化方法,以便监测和后续优化。首先,利用双向干谱法检测性能变差的控制回路中是否存在非线性,再用椭圆拟合方法判定非线性来源为阀门粘滞;然后,将控制回路表示为Hammerstein模型结构,结合粒子群优化方法在辨识过程模型的同时检测并量化得到粘滞程度大小。最后,通过仿真实例和实际工业数据对所提方法进行测试,结果验证了其有效性。In the actual industrial control system, the stiction of the control valve will cause the performance of the control loop to decline and even oscillate seriously. A new method of valve stiction detection and quantification is proposed for monitoring and subsequent optimization. Firstly, the bi-directional dry spectrum method was used to detect whether there was nonlinearity in the control loop with poor performance, and then the ellipse fitting method was used to determine whether the nonlinear source was valve viscosity;Next, the nonlinearity in the control loop with poor performance was detected by the bicoherence method, and the valve stiction was determined as the source of nonlinearity by the ellipse fitting method. The control loop was expressed as a Hammerstein model structure, and the degree of stiction was detected and quantified in combination with the particle swarm optimization method to identify the process model. Finally, the validity of the proposed method was verified by the simulation example and practical industrial data.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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