Lecture 22: Frequency Response Analysis (Pt II) 1.Conclusion of Bode plot construction 2.Relative stability 3.System identification example ME 431, Lecture.

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Lecture 22: Frequency Response Analysis (Pt II) 1.Conclusion of Bode plot construction 2.Relative stability 3.System identification example ME 431, Lecture 22 1

Example Sketch Bode diagram for

Example (continued) M(dB) φ(deg) M(dB) φ(deg)

Complex conjugate poles (ζ<1) Complex conjugate zeros have similar shape, just reflected over the horizontal axis

Relative Stability Closed-loop poles in the LHP indicate stability The closeness of the poles to the RHP indicate how near to instability the system is, robustness ME 431, Lecture 22 X X Re Im 5

Relative Stability Stability of a closed-loop system can also be determined from the open-loop frequency response At 180 o of phase lag of the loop, the reference and feedback signal add, if the magnitude of the loop is greater than 1 the error grows exponentially (unstable) ME 431, Lecture 22 6

Relative Stability Relative stability is indicated by how close the open-loop frequency response is to the point of 180 o of phase lag and a magnitude of 1 More specifically, Gain Margin ( G m ) is the distance from a magnitude of 1 (0 dB) at the frequency where φ=-180 o (phase crossover frequency) Phase Margin ( φ m ) is the distance from a phase of -180 o at the frequency where M = 0 dB (gain crossover frequency) ME 431, Lecture 22 7

Relative Stability In order to be stable, both gain and phase margin must be positive ME 431, Lecture 22 8

Relative Stability More intuitively, Gain margin indicates how much you can increase the loop gain K before the system goes unstable Phase margin indicates the amount of phase lag (time delay) you can add before the system goes unstable ME 431, Lecture 22 9

Example Determine the stability margins of the closed-loop system with the following open-loop frequency response

System Identification Frequency response techniques can be useful for black-box modeling Sweep sinusoidal input through a range of frequencies, measure scaling and phase shift of output Identifies higher-order dynamics and zeros One example is modeling of power converters ME 431, Lecture 22 11

Example Determine the magnitude and phase of a system that has the following steady-state output to the given input

Example Estimate the transfer function for the system with the following frequency response

MATLAB Tools ME 431, Lecture 22 14