- May 2026
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csus.instructure.com csus.instructure.com
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must be less than 1 (or 0 dB) when its phase angle is −180∘-180^{\circ} .
Check Gain at Phase Angle = -180. The Gain needs to be smaller than 1 for stability.
Ex: Gain is around -15 dB at -180 degrees. This is less than 1, therefore the system is stable! Corresponding Frequency: 30.9
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critical phase angle
Check Phase Angle at Gain = 0 dB. This needs to be above -180 degrees.
Ex: Phase is around -142 at 0 dB. This is more than -180, therefore the system is stable. Corresponding Frequency: 12.2 rad/s
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ΦM = |180◦ − ∠G(iωgc)|
PHASE MARGIN EQUATION
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GM = −20 log |G(ıωpc)|
GAIN MARGIN EQUATION
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Instability occurs when1 + G(ıω) = 0
Check the denominator of the transfer function of a unity feedback system. The system is, of course, unstable if the function is undefined.
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Complex
These bumps shown here indicated an UNDERDAMPED system.
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- Apr 2026
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csus.instructure.com csus.instructure.com
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t
LAPLACE TIME DELAY
$$\mathcal{L}{f(t - a)u(t - a)} = e^{-as} F(s)$$
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time delay
Time Delay Example:
After energizing relay, it takes time before power reaching other end.
Essentially, delay from signal sent to signal received to output motion carried out.
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Transfer Function is in polynomial form, traditionally to see poles in the CE, denominator.
When it isn't given in polynomial form, it becomes hard to find poles.
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- Feb 2026
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frequency ω
Make Bode Diagram and look at -3 dB
Read Breakpoint Frequency, w_b $$s = a \pm jb$$
In transfer function G(s), substitute $$s=jw_b=\frac{j}{\tau}$$
Solve the Transfer Function
Convert to Polar Form $$z = a + jb , $$ $$z = r \angle \theta , \quad r = \sqrt{a^2 + b^2}$$ $$ \quad \theta = \tan^{-1}!\left(\frac{b}{a}\right)$$
$$r = k_dc$$
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ctms.engin.umich.edu ctms.engin.umich.edu
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unity-feedback system
No transfer function for returning pass (unity)
Input=Output for returning pass.
ex: cruise control. r=desired speed, y=actual speed
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$$r-y = e$$
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\(e\) represents the tracking error, the difference between the desired output \(r\) and the actual output \(y\).
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output of a PID controller
$$ u(t) = K_p e(t) + K_i \int e(t)\,dt + K_d \frac{de}{dt} $$
- The control signal \(u\) to the plant is equal to the proportional gain \(K_p\) times the magnitude of the error plus the integral gain \(K_i\) times the integral of the error plus the derivative gain \(K_d\) times the derivative of the error.
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Floating Control Mode
When you route error into the control system.
Example gravel depositing on weighted belt * Weight too heavy, system controls flow rate to reduce weight * Weight is sufficient, system does no work to correct error = neutral zone
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