Simulink Design Optimization
Estimate and optimize Simulink model parameters
Using Simulink Design Optimization with measured data to calibrate parameters for the blocks highlighted in red. The lower left and lower right images show measured versus simulated data before and after the calibration, respectively.
Simulink Design Optimization™ provides interactive tools, functions, and Simulink® blocks for estimating and tuning Simulink model parameters using numerical optimization. An interactive tool lets you automatically estimate model parameters such as friction and aerodynamic coefficients from test data to increase model accuracy. You can preprocess test data, select model parameters to estimate, start an optimization, and validate estimation results.
You can also automatically tune design parameters in a Simulink model to meet objectives such as improved system performance and minimized energy consumption. Using design optimization techniques, you can meet both time-domain and frequency-domain constraints such as overshoot and phase margin. You can also jointly optimize physical plant parameters and algorithmic or controller gains to maximize overall system performance.
Description
- Introduction and Key Features
- Estimating Model Parameters from Test Data
- Optimizing Time-Domain and Frequency-Domain Responses of Simulink Models
- Meeting Requirements Specified by Model Verification Blocks
- Using Custom Constraints and Cost Functions
- Programmatically Specifying Response Optimization Problems
- Accounting for Parameter Variation or Uncertainty
