CN107615186A - 模型预测控制的方法和装置 - Google Patents

模型预测控制的方法和装置 Download PDF

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CN107615186A
CN107615186A CN201580001162.XA CN201580001162A CN107615186A CN 107615186 A CN107615186 A CN 107615186A CN 201580001162 A CN201580001162 A CN 201580001162A CN 107615186 A CN107615186 A CN 107615186A
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theta
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闫正
毕舒展
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Huawei Technologies Co Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
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  • Medical Informatics (AREA)
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  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
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Abstract

一种模型预测控制的方法和装置，该方法包括：确定在k时刻的参数变量θ(k)(S110)；通过单层递归神经网络算法，根据k‑1时刻的控制变量u(k‑1)、k时刻的状态变量x(k)和参数变量θ(k)，确定满足预测模型性能指标的控制增量Δu(k)(S120)；将该预测模型的该控制变量u(k‑1)和该控制增量Δu(k)之和确定为该预测模型在该k时刻的控制变量u(k)(S130)；根据该预测模型的该控制变量u(k)，进行模型预测控制(S140)。根据当前时刻k时刻的状态变量x(k)和参数变量θ(k)，以及前一时刻的控制变量u(k‑1)，通过单层递归神经网络算法，确定满足预测模型性能指标的控制变量u(k)，根据该控制变量u(k)，进行模型预测控制，能够提高计算效率，可以保证性能指标的可靠性。

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PCT国内申请，说明书已公开。

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  1. PCT国内申请，权利要求书已公开。
CN201580001162.XA 2015-08-13 2015-08-13 模型预测控制的方法和装置 Pending CN107615186A (zh)

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CN108549228A (zh) * 2018-04-18 2018-09-18 南京工业大学 一种基于交叉评估的多变量dmc***模型失配通道定位方法
CN110689164A (zh) * 2019-08-26 2020-01-14 阿里巴巴集团控股有限公司 用户解约行为的预测方法及其***
CN112684699A (zh) * 2020-11-10 2021-04-20 北京京能科技有限公司 变量幅值约束的超临界机组运行的控制方法及超临界机组
CN112925271A (zh) * 2019-12-06 2021-06-08 阿里巴巴集团控股有限公司 数据处理方法、自动控制方法及装置
CN113325694A (zh) * 2021-05-26 2021-08-31 西安交通大学 一种基于机器学习的模型预测控制参数的整定方法
WO2024098908A1 (zh) * 2022-11-11 2024-05-16 中国长江三峡集团有限公司 风储协同宽频振荡抑制方法、装置

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CN109460846B (zh) * 2018-06-19 2022-04-01 国网浙江省电力有限公司湖州供电公司 一种基于数据挖掘的设备状态预测分析方法
CN110213784B (zh) * 2019-07-05 2022-05-20 中国联合网络通信集团有限公司 一种流量预测方法及装置
CN110457750B (zh) * 2019-07-09 2023-10-24 国家电网有限公司 基于神经网络响应面的有载分接开关弹簧储能不足故障识别方法
CN112888076B (zh) * 2019-11-29 2023-10-24 华为技术有限公司 一种调度方法及装置
CN111525607A (zh) * 2020-04-17 2020-08-11 中国电力科学研究院有限公司 用于光储联合发电***的光伏发电计划跟踪方法及装置
CN112462019A (zh) * 2020-11-14 2021-03-09 北京工业大学 一种基于cl-rnn的出水氨氮软测量方法
CN112906291B (zh) * 2021-01-25 2023-05-19 武汉纺织大学 一种基于神经网络的建模方法及装置
CN113805587B (zh) * 2021-09-17 2023-08-15 中国人民解放军国防科技大学 多无人车分布式编队控制方法、装置和设备
CN114371619B (zh) * 2021-12-17 2024-04-23 上海电力大学 一种mgt-cchp变工况动态能效优化控制方法

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CN103345161A (zh) * 2013-07-05 2013-10-09 杭州电子科技大学 废塑料裂解炉余热烘干装置压力控制方法
CN104776446A (zh) * 2015-04-14 2015-07-15 东南大学 一种锅炉燃烧优化控制方法

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108549228A (zh) * 2018-04-18 2018-09-18 南京工业大学 一种基于交叉评估的多变量dmc***模型失配通道定位方法
CN108549228B (zh) * 2018-04-18 2021-02-02 南京工业大学 一种基于交叉评估的多变量dmc***模型失配通道定位方法
CN110689164A (zh) * 2019-08-26 2020-01-14 阿里巴巴集团控股有限公司 用户解约行为的预测方法及其***
CN112925271A (zh) * 2019-12-06 2021-06-08 阿里巴巴集团控股有限公司 数据处理方法、自动控制方法及装置
CN112684699A (zh) * 2020-11-10 2021-04-20 北京京能科技有限公司 变量幅值约束的超临界机组运行的控制方法及超临界机组
CN113325694A (zh) * 2021-05-26 2021-08-31 西安交通大学 一种基于机器学习的模型预测控制参数的整定方法
WO2024098908A1 (zh) * 2022-11-11 2024-05-16 中国长江三峡集团有限公司 风储协同宽频振荡抑制方法、装置

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