期刊文献+

反向响应过程抗负载干扰PID控制回路性能评估

Assessment of Inverse Response Process PID Control Loops Performance for Load Disturbance Rejection
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摘要 反向响应过程广泛存在于化工领域中,但针对反向响应过程的性能评估研究较少;针对一类二阶时滞反向响应过程,通过幂级数展开的方法简化了对象模型,然后研究其抗负载干扰PID控制回路性能评估问题;根据DS-d控制原理获取期望闭环传递函数以及PID控制器参数,推导干扰模型为阶跃情况下的PID控制回路累积绝对误差(IAE)性能基准值,并将其推广到斜坡输入以及一般输入情形,为不同干扰类型情况下的反向响应过程建立通用化的IAE性能评价标准;仿真结果验证了所提性能评估算法的正确性以及通用性。 Although inverse response process exists widely in the field of chemical industry,studies for the performance assessment of it are not very common.The inverse response process with second order plus time-delay model is simplified by a truncated power-series expan-sion,then assessment of PID control loops performance for load disturbance rejection is discussed.The integrated absolute error (IAE)per-formance benchmark is established from closed-loop responses with step type of load disturbance changes,while the desired closed loop trans-fer function and the PID controller parameters is acquired through the DS-d control principle.In addition,the general IAE performance benchmark for different types of load disturbance is put forward for inverse response process subject to ramp and other general types of load disturbance changes.Numerical example is employed to demonstrate the effectiveness and universality of the proposed performance assess-ment algorithm.
出处 《计算机测量与控制》 2016年第6期289-293,共5页 Computer Measurement &Control
基金 国家自然科学基金资助项目(61104121) 江南大学自主科研计划重点项目(JUSRP51407B)
关键词 性能评估 反向响应过程 抗负载干扰 performance assessment inverse response process load disturbance rejection
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参考文献17

  • 1薛美盛,Fei Qi,张毅,王川,白东进.控制回路性能评估综述[J].控制工程,2009,16(5):507-512. 被引量:22
  • 2Jelali M. An overview of control performance assessment technology and industrial applications [J]. Control Engineering Practice, 2006, 14 (5): 441-466,.
  • 3Harris T J. Assessment of control loop performance[J]. The Ca nadian Journal of Chemical Engineering, 1989, 67 (5) : 856 - 861.
  • 4Pillay N, Govender P. A data driven approach to performance as- sessment of PID controllers for setpoint tracking [J]. Procedia En gineering, 2014, 69 (1): 1130-1137.
  • 5Sendjaja A Y, Kariwala V. Achievable PID performance using sums of squares programming [J]. Journal of Process Control, 2009, 19 (6): 1061 - 1065.
  • 6Garpinger O, Hagglund T, Astrom K J. Performance and robust hess trade offs in PID control [J]. Journal of Process Control, 2014, 24 (5): 568-577.
  • 7Yu Z, Wang J, Huang B, et al. Performance assessment of PID control loops subject to setpoint changes [J]. Journal of Process Control, 2011, 21 (8):1164-1171.
  • 8Veronesi M, Visioli A. Performance assessment and retuning of PID controllers [J]. Industrial & Engineering Chemistry Research, 2009, 48 (5): 2616-2623.
  • 9Visioli A. Method {or proportional-integral controller tuning as sessment [J]. Industrial & Engineering Chemistry Research, 2006, 45 (8): 2741-2747.
  • 10Hagglund T. Automatic detection of sluggish control loops [J]. Control Engineering Practice, 1999, 7 (99): 1505-1511.

二级参考文献79

  • 1孙金明,左信,季德伟,陈育昆.PID控制器性能评价[J].化工自动化及仪表,2004,31(5):21-23. 被引量:12
  • 2张强,李少远.Performance Monitoring and Diagnosis of Multivariable Model Predictive Control Using Statistical Analysis[J].Chinese Journal of Chemical Engineering,2006,14(2):207-215. 被引量:11
  • 3Thornhill N F, Horch A. Advances and new directions in plant - wide disturbance detection and diagnosis [ J ]. Control Engineering Practice, 2007, 15(10 SPEC ISS): 1196-1206.
  • 4Ender D. Process control performance: Not as good as you think [J]. Control Engineering, 1993, 40(10) : 180-190.
  • 5Bialkowski W L. Dreams Versus Reality : A view from both sides of the gap [J]. Pulp and Paper Canada, 1993,94(11) :19-27.
  • 6Desborough L, Miller R. Increasing customer value of industrial control performance monitoring-Honeywell's experience[ J]. AIChE Symposium Series, 2002, 98( 1 ) : 153-186,.
  • 7Jelali M. An overview of control performance assessment technology and industrial applications [ J ]. Control Engineering Practice, 2006, 14(5) : 441-466.
  • 8Thomhill N F, Hagglund T. Detection and diagnosis of oscillation in control loops [ J ]. Control Engineering Practice, 1997, 5 ( 10) : 1343-1354.
  • 9Hagglund T. Automatic detection of sluggish control loops [ J ]. Control Engineering Practice, 1999, 7(12) : 1505-1511.
  • 10Kuehl P, Horch A. Detection of sluggish control loops-experiences and improvements [ J ]. Control Engineering Practice, 2005, 13 (8) : 1019-1025.

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