# Implementation challenges for multivariable control: what you did not learn in school! - My digital brain
Tags Multivariable Control Reference (Sanjay Garg, 2007) Author(s) Garg, S. Year 2007 Discusses: When to use multivariable control and when not to? Two major issues with implementing multivariable control: gain scheduling and integrator wind up protection Inline simple gain and phase margin measured for SISO, &ldquo;robustness&rdquo; determination of multivariable control requires complex analyses using singular value techniques and Monte Carlo simulations. When to use multivariable control:
Author: — Thomas Dehaeze

# Implementation challenges for multivariable control: what you did not learn in school!

Tags
  Multivariable Control
Reference
  (Sanjay Garg, 2007)
Author(s)
  Garg, S.
Year
  2007

Discusses:

- When to use multivariable control and when not to?
- Two major issues with implementing multivariable control: gain scheduling and integrator wind up protection

> Inline simple gain and phase margin measured for SISO, “robustness” determination of multivariable control requires complex analyses using singular value techniques and Monte Carlo simulations.

When to use multivariable control:

- System has high input/output coupling and not much separation between loop bandwidth
- System is complex with large number of states
- When sequential SISO loop closure will not meet performance requirements

Importance of having a mechanism to limit the control rate in the synthesis process. The control rate should be weighted appropriately in order to not saturate the system and stay in the linearity regime.

- importance of scaling the plant prior to synthesis and also replacing pure integrators with slow poles

# Bibliography

Garg, S., Implementation challenges for multivariable control: what you did not learn in school!, In , AIAA Guidance, Navigation and Control Conference and Exhibit (pp. ) (2007). : . ↩