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Optimization with Matlab. Calibration Generation (Cage)

Optimization with Matlab. Calibration Generation (Cage) PDF Author: J Lopez
Publisher:
ISBN: 9781700128447
Category :
Languages : en
Pages : 426

Book Description
The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems..The toolbox has two main apps: -Model Browser for design of experiment and statistical modeling-CAGE Browser for analytical calibrationThe Model Browser is a flexible powerful, intuitive graphical interface for building and evaluating experimental designs and statistical models.CAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables. CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation.A feature calibration compares a model of an estimated signal with a lookup table (or algebraic collection of tables) that estimates the same signal in the ECU. CAGE finds the optimum calibration for the lookup table(s). For example, a typical engine subsystem controls the spark angle to produce the peak torque; that is, the Maximum Brake Torque (MBT) spark. Using the Model Browser, you can build a statistically sound model of MBT spark, over a range of engine speeds and relative air charges, or loads. Use the feature calibration to fill a lookup table by comparing the table to the model.A tradeoff calibration fills lookup tables by comparing models of different engine characteristics at key operating points. For example, there are several models of important engine characteristics, such as torque and nitrous oxides (NOX) emissions. Both models depend on the spark angle. At a particular operating point, a slight reduction of torque can result in a dramatic reduction of NOX emissions. Thus, the calibrator uses the value of the spark angle that gives this reduction in NOX emissions instead of the spark angle that generates maximum torque.CAGE can optimize calibrations with reference to models, including single- and multiobjective optimizations, sum optimizations, user-defined optimizations, and automated tradeoff.

Optimization with Matlab. Calibration Generation (Cage)

Optimization with Matlab. Calibration Generation (Cage) PDF Author: J Lopez
Publisher:
ISBN: 9781700128447
Category :
Languages : en
Pages : 426

Book Description
The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems..The toolbox has two main apps: -Model Browser for design of experiment and statistical modeling-CAGE Browser for analytical calibrationThe Model Browser is a flexible powerful, intuitive graphical interface for building and evaluating experimental designs and statistical models.CAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables. CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation.A feature calibration compares a model of an estimated signal with a lookup table (or algebraic collection of tables) that estimates the same signal in the ECU. CAGE finds the optimum calibration for the lookup table(s). For example, a typical engine subsystem controls the spark angle to produce the peak torque; that is, the Maximum Brake Torque (MBT) spark. Using the Model Browser, you can build a statistically sound model of MBT spark, over a range of engine speeds and relative air charges, or loads. Use the feature calibration to fill a lookup table by comparing the table to the model.A tradeoff calibration fills lookup tables by comparing models of different engine characteristics at key operating points. For example, there are several models of important engine characteristics, such as torque and nitrous oxides (NOX) emissions. Both models depend on the spark angle. At a particular operating point, a slight reduction of torque can result in a dramatic reduction of NOX emissions. Thus, the calibrator uses the value of the spark angle that gives this reduction in NOX emissions instead of the spark angle that generates maximum torque.CAGE can optimize calibrations with reference to models, including single- and multiobjective optimizations, sum optimizations, user-defined optimizations, and automated tradeoff.

Optimization and Calibration Models Using Matlab

Optimization and Calibration Models Using Matlab PDF Author: P. Braselton
Publisher: Createspace Independent Publishing Platform
ISBN: 9781547003112
Category :
Languages : en
Pages : 440

Book Description
The MATLAB software includes eficient tools for optimization and calibration models. The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main apps: Model Browser for design of experiment and statistical modeling and CAGE Browser for analytical calibration. CAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables. CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation. CAGE can optimize calibrations with reference to models, including single- and multi-objective optimizations, sum optimizations, user-defined optimizations, and automated tradeoff. You can compare your calibrations to experimental data for validation. For example, after completing a calibration, you can import experimental data from a spreadsheet. You can use CAGE to compare your calibration to the data.

Statistical Modeling With Matlab Calibration Models Optimization and Optimization Analysis

Statistical Modeling With Matlab Calibration Models Optimization and Optimization Analysis PDF Author: Olsen F.
Publisher:
ISBN: 9781540387202
Category :
Languages : en
Pages : 220

Book Description
Model-Based Calibration Toolbox contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main user interfaces:* Model Browser for design of experiment and statistical modeling* CAGE Browser for analytical calibrationCAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables.CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation. CAGE can optimize calibrations with reference to models, including single- and multi-objective optimizations, sum optimizations, user-defined optimizations, and automated tradeoff.

Design of Experiments With Matlab

Design of Experiments With Matlab PDF Author: Perez C.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781974098668
Category :
Languages : en
Pages : 252

Book Description
MATLAB can create Experimental Design Models with Model-Based Calibration Toolbox. This models can be exported to Simulink(R) to support control design, hardware-in-the-loop testing, and powertrain simulation activities across the powertrain design team. The toolbox has two main user interfaces for model-based calibration workflows: - Model Browser for design of experiment and statistical modeling - CAGE Browser for analytical calibration The Model Browser part of the toolbox is a powerful tool for experimental design and statistical modeling. The models you build with the Model Browser can be imported into the CAGE Browser part of the toolbox to produce optimized calibration tables. The command-line interface to the Model-Based Calibration Toolbox product enables the design of experiments and modeling tolos available in the toolbox to be accessible from the test bed. You can use these commands to assemble your specific engine calibration processes into an easy to use script or graphical interface. Calibration technicians and engineers can use the custom interface without the need for extensive training. The Model Browser is a flexible, powerful, intuitive graphical interface for building and evaluating experimental designs and statistical models. This tools enables: - Design of experiment tools can drastically reduce expensive data collection time. - You can create and evaluate optimal, space-filling, and classical designs, and constraints can be designed or imported. - Hierarchical statistical models can capture the nature of variability inherent in engine data, accounting for variation both within and between tests. - The Model Browser has powerful, flexible tools for building, comparing, and evaluating statistical models and experimental designs. - There is an extensive library of prebuilt model types and the capability to build userdefined models. - You can export models to CAGE or to MATLAB or Simulink software. - Faster calibration - Improved calibration quality - Improved system understanding - Reduced development time CAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables. CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE, you fill and optimize lookup tables in existing ECU software using Model Browser models. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation. This book develops the following topics: - "Model-Based Calibration Toolbox" - "Design of Experiments" - "Design and Modeling Scripts" - "Model-Based Calibration Toolbox Command-Line Interface" - "Automate Design and Modeling With Scripts" - "Statistical Modeling and Optimization" - "Two-Stage Modeling" - "Create Multiple Models to Compare" - "Create a Constrained Space-Filling Design" - "Create Optimal and Classical Designs" - "Use the Design Evaluation Tool" - "Data Manipulation for Modeling" - "Match Data to Experimental Designs" - "Feature Calibration"

Models Calibration Wih Matlab

Models Calibration Wih Matlab PDF Author: Perez C.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781974332298
Category :
Languages : en
Pages : 190

Book Description
The MATLAB software include eficient tools for optimization and calibration models. The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main apps: Model Browser for design of experiment and statistical modeling and CAGE Browser for analytical calibration. CAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables. CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation. CAGE can optimize calibrations with reference to models, including single- and multi-objective optimizations, sum optimizations, user-defined optimizations, and automated tradeoff. You can compare your calibrations to experimental data for validation. For example, after completing a calibration, you can import experimental data from a spreadsheet. You can use CAGE to compare your calibration to the data.. This book develops the following topics: - "Model-Based Calibration Toolbox" - "What Is CAGE?" - "Set Up Calibrations" - "Import Models and Calibration Items" - "Setting Up Models" - "Setting Up Tables" - "Creating Tables from a Model" - "Calibration Manager" - "Importing and Exporting Calibrations" - "Feature Calibrations" - "Import a Strategy from Simulink" - "Tradeoff Calibration" - "Point-by-Point Model Tradeoffs"

Statistical Modeling With Matlab. Functions for Calibration Models

Statistical Modeling With Matlab. Functions for Calibration Models PDF Author: Olsen F.
Publisher:
ISBN: 9781540387714
Category :
Languages : en
Pages : 142

Book Description
Model-Based Calibration Toolbox contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main user interfaces:* Model Browser for design of experiment and statistical modeling* CAGE Browser for analytical calibrationCAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables.CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation. CAGE can optimize calibrations with reference to models, including single- and multi-objective optimizations, sum optimizations, user-defined optimizations, and automated tradeoff.

Statistical Modeling With Matlab. Calibration Models

Statistical Modeling With Matlab. Calibration Models PDF Author: Olsen F.
Publisher:
ISBN: 9781540386960
Category :
Languages : en
Pages : 208

Book Description
Model-Based Calibration Toolbox contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main user interfaces:* Model Browser for design of experiment and statistical modeling* CAGE Browser for analytical calibrationCAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookuptables.CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation.

Design of Experiments by Examples Using Matlab

Design of Experiments by Examples Using Matlab PDF Author: Perez C.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781974098101
Category :
Languages : en
Pages : 196

Book Description
MATLAB provides apps and design tools for optimally calibrating complex engines and powertrain subsystems. You can work with design of experiments, define optimal test plans, automatically fit statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would otherwise require exhaustive testing using traditional methods. Calibrations can be optimized at individual operating points or over drive cycles to identify the optimal balance of engine fuel economy, performance, and emissions. Using apps or MATLAB(R) functions, you can automate the calibration process for similar engine types. The Key Features in this book are the following: -Apps that support the entire workflow: designing experiments, fitting statistical models to engine data, and producing optimal calibrations -Design-of-Experiments methodology for reducing testing time through classical, space-filling, and optimal design techniques -Accurate engine modeling with data fitting techniques including Gaussian process, radial basis function, and linear regression modeling -Boundary modeling to keep optimization results within the engine operating envelope Generation of lookup tables from optimizations over drive cycles, models, or test data -Export of performance-optimized models to Simulink for use in simulation and HIL testing This book develops the following topics: - "Model-Based Calibration Toolbox" - "Design of Experiments" - "Empirical Engine Modeling" - "Selecting Data and Models to Fit" - "Selecting Global and Two-Stage Models" - "Using Validation Data" - "Exporting the Models" - "Optimized Calibration" - "Importing Additional Models into CAGE" - "Setting Up and running the Optimization" - "Composite Models and Modal Optimization" - "Use Optimization Results"

Recent Trends in Mechatronics Towards Industry 4.0

Recent Trends in Mechatronics Towards Industry 4.0 PDF Author: Ahmad Fakhri Ab. Nasir
Publisher: Springer Nature
ISBN: 9813345977
Category : Technology & Engineering
Languages : en
Pages : 1022

Book Description
This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

Calibration Systems with MATLAB by Examples. Statistical Modeling, Optimization and Design of Experiments

Calibration Systems with MATLAB by Examples. Statistical Modeling, Optimization and Design of Experiments PDF Author: Parker K.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781539659655
Category :
Languages : en
Pages : 456

Book Description
Model-Based Calibration Toolbox provides design tools for optimally calibrating complex powertrain systems using statistical modeling and numeric optimization. You can define test plans, develop statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would require exhaustive testing using traditional methods. By using the toolbox with MATLAB and Simulink you can develop a process for systematically identifying the optimal balance of engine performance, missions, and fuel economy, and reuse statistical models for control design, hardware-in-the-loop testing, or powertrain simulation.