Download or read book Optimization with Matlab. Calibration Generation (Cage) written by J Lopez and published by . This book was released on 2019-10-16 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.