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首页> 外文会议>56th annual ISA POWID symposium >RATE-CONSTRAINED WAVELET MULTIRESOLUTIONMODEL-BASED PREDICTIVE CONTROL FOR HYBRID COMBUSTION-GASIFICATION CHEMICAL LOOPING PROCESS
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RATE-CONSTRAINED WAVELET MULTIRESOLUTIONMODEL-BASED PREDICTIVE CONTROL FOR HYBRID COMBUSTION-GASIFICATION CHEMICAL LOOPING PROCESS

机译：基于速率约束的小波多分辨率混合燃烧-气化化学循环过程的预测控制

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摘要

Chemical looping process is a novel technology to separate oxygen from nitrogen using solid oxygenrncarrier to facilitate carbon dioxide capture in the design of next generation clean coal power plants. Thernchemical looping process involves multi-phase gas-solid flows that have a highly challenging uncertainrnnonlinear multi-scale dynamics with jumps, not captured well by traditional single-scale models and asrna result not amenable to tight control through traditional approaches. As a consequence, there exists arnneed for developing model-based advanced control solutions to tightly and robustly operate andrncontrol the chemical looping process. In an effort to model and control such a complex system, singleinput-rnsingle-output NARX models developed based on the temporal multi-resolution waveletrndecompositions are presented. First, the NARX model, nonlinear in the wavelet basis, but linear inrnparameters, is obtained as a model identifier that well characterizes the nonlinear dynamics of singlernloop gas/solid flow behavior. Then, this model is approximated via Taylor expansion to obtain arnlinearized NARMA-L1 model. Based on the linear model, one-step ahead predictive control laws arerndesigned. To reduce the excessive aggressiveness of the resulting control signals, ad hoc inputrnconstraints are designed and applied to limit the rate of control signal. Next, the one-step-headrnpredictive control is extended to multistep adaptive generalized predictive control (GPC) scheme basedrnon online identification of multi-resolution wavelet model structure. The control inputs and waveletrnmodel parameters are calculated by optimizing the cost function using gradient descent methods. Thernconvergence and stability of the proposed GPC scheme are shown using Lyapunov stability theorem.rnThe real-time implementation results of the one-step-ahead predictive control law with rate constraintrnon the single loop configuration of Alstom’s cold solid flow chemical loop test facility in Windsor,rnConnecticut, are presented. The tracking performance of the real-time controller is presented in thisrnpaper.
机译：化学循环工艺是一种使用固态氧载体将氧气与氮气分离的新颖技术，可在下一代清洁煤电厂的设计中促进二氧化碳的捕集。化学循环过程涉及多相气固两相流，这些多相气固两相流具有极具挑战性的不确定非线性多尺度动力学，具有跳跃性，传统的单尺度模型无法很好地捕捉到，而且结果也难以通过传统方法进行严格控制。结果，存在开发基于模型的高级控制解决方案以紧密地，稳健地操作和控制化学循环过程的需求。为了建模和控制这种复杂的系统，提出了基于时间多分辨率小波分解开发的单输入单输出NARX模型。首先，获得NARX模型，该模型基于小波为非线性，但线性参数为模型标识符，可以很好地表征单环气/固流行为的非线性动力学。然后，通过泰勒展开对该模型进行近似，得到线性线性化的NARMA-L1模型。基于线性模型，设计了一步式预测控制律。为了减少所得控制信号的过大攻击性，设计并应用了ad hoc输入约束来限制控制信号的速率。接下来，将单步头预测控制扩展到基于多分辨率小波模型结构的在线识别的多步自适应广义预测控制（GPC）方案。通过使用梯度下降法优化成本函数来计算控制输入和小波模型参数。利用Lyapunov稳定性定理证明了所提出的GPC方案的收敛性和稳定性。rn-带有速率约束的单步预测控制律的实时实施结果，与阿尔斯通在温莎的冷固相流化学回路测试设备的单回路配置不符， rnConnecticut，介绍。本文介绍了实时控制器的跟踪性能。

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  • 来源
  • 会议地点 OrlandoFL(US)
  • 作者

    Shu Zhang; Joseph Bentsman; Xinsheng Lou; Carl Neuschaefer;

  • 作者单位

    Dept. of Mech. Sci. and Engr., Univ. of Illinois at Urbana-Champaign, 1206 W Green St., Urbana IL 61801. Tel: (217)-244-0999, E-mail: szhang23@illinois.edu;

    Dept. of Mech. Sci. and Engr., Univ. of Illinois at Urbana-Champaign, 1206 W Green St., Urbana IL 61801. Tel: (217)-244-1076, Fax: (217)-244-6534, E-mail: jbentsma@illinois.edu;

    Alstom Power, Windsor, CT, USA. E-mail: xinsheng.lou@power.alstom.com;

    Alstom Power, Windsor, CT, USA. E-mail: carl.h.neuschaefer@power.alstom.com;

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