JP7389805B2 - 技術的なシステムをキャリブレーションする方法 - Google Patents
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
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- F02D41/1406—Introducing closed-loop corrections characterised by the control or regulation method with use of a optimisation method, e.g. iteration
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- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
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- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
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- G05B19/00—Programme-control systems
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- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
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Description
Claims (11)
- 技術的なシステム(1)をキャリブレーションする方法であって、キャリブレーション時に、技術的なシステム(1)を制御又は調整する、技術的なシステム(1)のいくつかの制御変数(θ)の値が、技術的なシステム(1)の所定の動作点(xi)において算出され、技術的なシステム(1)の動作点(xi)の数の順番(Tm)を生じさせる、技術的なシステム(1)のための負荷サイクルに基づいてキャリブレーションが実行される、前記方法において、
負荷サイクルが、少なくとも1つのランダム影響量(Z)の影響の下で複数回実行され、負荷サイクルの各実現時に、動作点(xi)の数iのランダムな順番(Tm)が生じること、技術的なシステム(1)の出力量についてのモデルfを有する目的関数yを含むコスト関数c(θ,Z)が規定され、モデルfが、技術的なシステム(1)の制御変数(θ)の数と、技術的なシステムのランダムな動作点(xi)の数iとに依存しており、その結果、負荷サイクル自体の各実現についてのコスト関数c(θ,Z)の値が、確率分布P(c(θ,Z))を有するランダム変数であること、確率分布P(c(θ,Z))のリスク量ρが規定され、リスク量によって、確率分布P(c(θ,Z))がスカラー量で記述されること、及びキャリブレーションに最適な制御変数(θopt)を得るために、リスク量ρが、制御変数(θ)の数の変動によって最適化されることを特徴とする方法。 - 動作点(xi)の数iのランダムな順番(Tm)を得るために、負荷サイクルのための技術的なシステム(1)の動作が、少なくとも1つのランダム影響量(Z)の影響の下で複数回シミュレーションされることを特徴とする請求項1に記載の方法。
- 動作点(xi)の数iのランダムな順番(Tm)を得るために、負荷サイクルのための技術的なシステム(1)が、少なくとも1つのランダム影響量(Z)の影響の下で複数回動作されることを特徴とする請求項1に記載の方法。
- 目的関数yにおけるモデルfのモデル値が、設定された重みwfi及び/又は設定されたコストcfで重み付けされることを特徴とする請求項1~3のいずれか1項に記載の方法。
- コスト関数c(θ,Z)では、技術的なシステム(1)の出力量についてのモデルgkを有する少なくとも1つの制約Bkが考慮され、モデルgkが、技術的なシステム(1)の制御変数(θ)の数と、技術的なシステム(1)のランダムな動作点(xi)の数iとに依存することを特徴とする請求項1~3のいずれか1項に記載の方法。
- 少なくとも1つの制約Bkのモデルgkのモデル値が、設定された重みwgk及び/又は設定されたコストcgkで重み付けされることを特徴とする請求項5に記載の方法。
- 制約Bkの違反が、設定されたペナルティ関数φで評価されることを特徴とする請求項5又は6に記載の方法。
- 最適化に際して、技術的なシステム(1)の出力量についてのモデルgkを有する少なくとも1つの制約Bkについての確率的な副次的条件が考慮され、モデルgkが、技術的なシステム(1)の制御変数(θ)の数と、技術的なシステム(1)のランダムな動作点(xi)の数iとに依存することを特徴とする請求項1~7のいずれか1項に記載の方法。
- 少なくとも1つの制約Bkが設定された制約値Gkを上回る確率が、設定された確率限度WSに違反するかどうかを、確率的な副次的条件によってチェックすることを特徴とする請求項8に記載の方法。
- 最適化のために、制御変数(θ)の数が反復的に変更され、このとき、確率分布P(c(θ,Z))のリスク量ρが最適化されるまで、コスト関数c(θ,Z)の確率分布P(c(θ,Z))が新たに算出されることを特徴とする請求項1~9のいずれか1項に記載の方法。
- 最適化に際して、制御変数(θ)の数についての非確率的な境界条件及び/又は副次的条件が考慮されることを特徴とする請求項1~10のいずれか1項に記載の方法。
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ATA51095/2018A AT521927B1 (de) | 2018-12-10 | 2018-12-10 | Verfahren zur Kalibirierung eines technischen Systems |
ATA51095/2018 | 2018-12-10 | ||
PCT/AT2019/060422 WO2020118330A1 (de) | 2018-12-10 | 2019-12-09 | Verfahren zur kalibirierung eines technischen systems |
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JP2022514216A JP2022514216A (ja) | 2022-02-10 |
JP7389805B2 true JP7389805B2 (ja) | 2023-11-30 |
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EP (1) | EP3871052B1 (ja) |
JP (1) | JP7389805B2 (ja) |
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Citations (4)
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US20040181365A1 (en) | 2003-03-13 | 2004-09-16 | Sharon Liu | Adjoint-based gradient driven method for identifying unkown parameters of non-linear system models |
US20090271093A1 (en) | 2008-04-24 | 2009-10-29 | Gm Global Technology Operations, Inc. | Off-line calibration of universal tracking air fuel ratio regulators |
US20120010757A1 (en) | 2010-07-09 | 2012-01-12 | Emerson Prcess Management Power & Water Solutions, Inc. | Energy management system |
JP2018511050A (ja) | 2015-03-13 | 2018-04-19 | アー・ファウ・エル・リスト・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング | 制御装置のキャリブレーション用のモデル・アンサンブルの策定方法 |
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EP1703110A1 (de) | 2005-03-18 | 2006-09-20 | Ford Global Technologies, LLC, A subsidary of Ford Motor Company | Verfahren zur Optimierung der Kalibrierung eines Verbrennungsmotors |
US8612107B2 (en) * | 2008-06-10 | 2013-12-17 | The Regents Of The University Of Michigan | Method, control apparatus and powertrain system controller for real-time, self-learning control based on individual operating style |
AT510328A2 (de) | 2011-12-12 | 2012-03-15 | Avl List Gmbh | Verfahren zur auswertung der lösung eines multikriteriellen optimierungsproblems |
DE102015207252A1 (de) | 2015-04-21 | 2016-10-27 | Avl List Gmbh | Verfahren und Vorrichtung zur modellbasierten Optimierung einer technischen Einrichtung |
EP3104240A1 (de) * | 2015-06-11 | 2016-12-14 | Siemens Aktiengesellschaft | Einrichtung und verfahren zur optimierung eines arbeitspunktes für den betrieb einer anlage |
AT518676B1 (de) * | 2016-05-17 | 2018-02-15 | Avl List Gmbh | Verfahren zur Kalibrierung eines technischen Systems |
CN107856670B (zh) * | 2017-11-06 | 2019-03-08 | 吉林大学 | 一种行星式混合动力***的优化控制规则提取方法 |
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- 2018-12-10 AT ATA51095/2018A patent/AT521927B1/de active
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- 2019-12-09 EP EP19823889.1A patent/EP3871052B1/de active Active
- 2019-12-09 US US17/311,966 patent/US11899414B2/en active Active
- 2019-12-09 JP JP2021532246A patent/JP7389805B2/ja active Active
- 2019-12-09 WO PCT/AT2019/060422 patent/WO2020118330A1/de unknown
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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US20040181365A1 (en) | 2003-03-13 | 2004-09-16 | Sharon Liu | Adjoint-based gradient driven method for identifying unkown parameters of non-linear system models |
US20090271093A1 (en) | 2008-04-24 | 2009-10-29 | Gm Global Technology Operations, Inc. | Off-line calibration of universal tracking air fuel ratio regulators |
US20120010757A1 (en) | 2010-07-09 | 2012-01-12 | Emerson Prcess Management Power & Water Solutions, Inc. | Energy management system |
JP2018511050A (ja) | 2015-03-13 | 2018-04-19 | アー・ファウ・エル・リスト・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング | 制御装置のキャリブレーション用のモデル・アンサンブルの策定方法 |
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US20220026863A1 (en) | 2022-01-27 |
AT521927A1 (de) | 2020-06-15 |
EP3871052B1 (de) | 2024-02-07 |
AT521927B1 (de) | 2020-10-15 |
US11899414B2 (en) | 2024-02-13 |
EP3871052A1 (de) | 2021-09-01 |
JP2022514216A (ja) | 2022-02-10 |
WO2020118330A1 (de) | 2020-06-18 |
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