Simulink Design Optimization

Simulink Design Optimization Overview   1:56

Estimate and optimize Simulink model parameters using Simulink Design Optimization.

Estimating DC Motor Parameters from Test Data   8:01

Use optimization algorithms to automatically estimate DC motor parameter values from transient test data.

Optimizing a Flight Control System in the Time and Frequency Domains   4:53

Optimize the parameters of a flight control system to simultaneously meet time-domain and frequency-domain design requirements.

Estimating Parameters of a Battery   4:49  

Model a lithium-ion battery with Simscape language components. Estimate battery parameters using measured data over a range of temperatures.

Optimizing a Wind Turbine Blade Pitch Control System   4:32

Optimize model parameters to meet time-domain design objectives.

Estimating the Parameters of a Hydraulic System   4:32

Tune parameters automatically until simulation results match measurement data. Optimization algorithms are used to obtain realistic parameter values for a hydraulic system.

Optimizing Suspension System Performance   6:41

Use custom objectives and frequency-domain optimization to optimize the ride quality of a suspension system.

Accelerating Parameter Estimation with Parallel Computing   4:25

Accelerate parameter estimation for an engine throttle model using parallel computing.

Engine Throttle Parameter Estimation  

Calibrate parameters of an engine throttle model using one experimental data set, and validate those parameters using another.

DC Servo Motor Parameter Estimation  

Estimate the parameters of a multidomain DC servo motor model constructed using various physical modeling products.

Simplified Alternator Parameter Estimation  

See the effect of having good parameter bounds on estimation performance, demonstrated by estimating the power rating, P, of a synchronous machine.

Clutch Friction Coefficient Estimation  

Estimate parameters of a clutch model created using SimDriveline library blocks.

Engine Parameter Estimation at the Command Line  

Use experimental data to estimate various parameters of an engine idle speed model through the command-line interface.

F14 Parameter Estimation at the Command Line  

Use experimental data to estimate three parameters of the F14 model through the command-line interface.

Inverted Pendulum Parameter Estimation  

This example shows how to use Simulink^® Design Optimization™ to estimate multiple parameters of a model by iterated estimations.

Design Optimization to Meet Time- and Frequency-Domain Requirements  

Tune a controller to satisfy time- and frequency-domain design requirements.

Design Optimization to Meet Frequency-Domain Requirements    

Tune mass-spring-damper model parameters to meet typical suspension requirements.

Engine Design and Cost Tradeoffs    

Tune automotive engine speed controller while reducing controller costs by determining optimal sensor accuracy and actuator response time.

Magnetic Levitation Controller Tuning  

Apply numerical optimization to automatically tune gains of the PID controller that is used to position a freely levitating ball in a magnetic field.

Design Optimization to Meet a Custom Objective Using the GUI  

Optimize a design to meet a custom objective using the Design Optimization tool.

PID Tuning with Reference Tracking and Plant Uncertainty  

Track a reference signal and optimize the response with uncertainties in the plant model.

Enforcing Time and Frequency Requirements on a Single-Loop Controller Design  

Tune a compensator in a Simulink model. Added performance requirements further refine and optimize an initial compensator design.

Design Optimization to Meet a Custom Objective at the Command Line  

Optimize the cylinder parameters to minimize the cylinder geometry and satisfy design requirements.

Improving Optimization Performance Using Parallel Computing  

Improve performance by using parallel computing with Simulink Design Optimization to optimize a complex Simulink model.