41 lines
1.5 KiB
Markdown
41 lines
1.5 KiB
Markdown
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title = "Implementation challenges for multivariable control: what you did not learn in school!"
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author = ["Thomas Dehaeze"]
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draft = false
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Tags
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: [Multivariable Control]({{< relref "multivariable_control" >}})
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Reference
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: ([Garg 2007](#org1da9ec5))
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Author(s)
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: Garg, S.
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Year
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: 2007
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Discusses:
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- When to use multivariable control and when not to?
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- Two major issues with implementing multivariable control: **gain scheduling** and **integrator wind up protection**
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> 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.
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**When to use multivariable control**:
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- System has high input/output coupling and not much separation between loop bandwidth
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- System is complex with large number of states
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- When sequential SISO loop closure will not meet performance requirements
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Importance of having a mechanism to limit the control rate in the synthesis process.
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The control rate should be weighted appropriately in order to not saturate the system and stay in the linearity regime.
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- importance of scaling the plant prior to synthesis and also replacing pure integrators with slow poles
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## Bibliography {#bibliography}
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<a id="org1da9ec5"></a>Garg, Sanjay. 2007. “Implementation Challenges for Multivariable Control: What You Did Not Learn in School!” In _AIAA Guidance, Navigation and Control Conference and Exhibit_, nil. <https://doi.org/10.2514/6.2007-6334>.
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