Simulink Control Design™ - MathWorks

Using Parallel Computing to Accelerate Tuning

This example shows how to leverage the Parallel Computing Toolbox™ to accelerate

multi-start strategies for tuning fixed-structure control systems.

Background

Both systune and looptune use local optimization methods for tuning the control

architecture at hand. To mitigate the risk of ending up with a locally optimal but globally

poor design, it is recommended to run several optimizations starting from different

randomly generated initial points. If you have a multi-core machine or have access to

distributed computing resources, you can significantly speed up this process using the

Parallel Computing Toolbox.

This example shows how to parallelize the tuning of an airframe autopilot with looptune.

See the example "Tuning of a Two-Loop Autopilot" for more details about this application

of looptune.

Autopilot Tuning

The airframe dynamics and autopilot are modeled in Simulink.

open_system('rct_airframe1')

13 Control System Tuning Examples