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). : . ↩

Contents

Bibliography