Control Systems
Matlab Simulink
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(a).   MatLab Code:   s = tf('s'); Ys = 10*(s+1000)/((s+1)*(s+5)); bode(Ys) grid       Output:                 (b).   Lead Compensator Design:   MatLab Code:   s = tf('s'); Ys = 10*(s+1000)/((s+1)*(s+5)); sisotool(Ys)       Output:         Click On:     Tuning Method    ===>   PID tuning:     PID TuningCompensatorC=0.037487 \times \frac{(1+0.069 \mathrm{~s})}{(1+0.00031 \mathrm{~s})}Select Loop to TuneLoopTransfer_CAdd new loop...SpecificationsTuning method: Robust response timeController Type: P 1 PI O PD PID\square pesign with first order derivative filterDesign mode: TimeUpdate CompensatorHelp       Export the Compensator:   C =     8.3606 (s+14.58)   ----------------       (s+3251)   Name: C Continuous-time zero/pole/gain model.       Verification:   s = tf('s'); Ys = 10*(s+1000)/((s+1)*(s+5)); C = 8.3606 *(s+14.58)/(s+3251); margin(C*Ys)                 You can see, the bode plot of the compensated system has nonzero Gain margin and Phase Margin. So, the system is stable.       ...