Bode's sensitivity integral
This article may be too technical for most readers to understand. (June 2015) |
Bode's sensitivity integral, discovered by Hendrik Wade Bode, is a formula that quantifies some of the limitations in feedback control of linear parameter-invariant systems. Let L be the loop transfer function, and S be the sensitivity function.
In the diagram, P is a dynamical process that has a transfer function P(s). The controller C has the transfer function C(s). The controller attempts to cause the process output y to track the reference input r. Disturbances d and measurement noise n may cause undesired deviations of the output. Loop gain is defined by L(s) = P(s)C(s).
The following holds: where are the poles of L in the right half-plane (unstable poles).
If L has at least two more poles than zeros, and has no poles in the right half-plane (is stable), the equation simplifies to This equality shows that if sensitivity to disturbance is suppressed at some frequency range, it is necessarily increased at some other range. This has been called the "waterbed effect".[1]
For multi-input, multi-output (MIMO) systems, if the loop gain L(s) has entries with pole excess of at least two, the theorem generalizes to where are the unstable poles of L(s).[2]
References
[edit | edit source]- ^ A. Megretski. "The Waterbed Effect". MIT OCW, 2004.
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Further reading
[edit | edit source]- Karl Johan Åström and Richard M. Murray. Feedback Systems: An Introduction for Scientists and Engineers. Chapter 11: Frequency Domain Design. Princeton University Press, 2008.
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External links
[edit | edit source]- WaterbedITOOL – interactive software tool to analyze, learn/teach the Waterbed effect in linear control systems.
- Gunter Stein’s Bode Lecture on fundamental limitations on the achievable sensitivity function expressed by Bode's integral.
- Use of Bode's Integral Theorem (circa 1945) – NASA publication.