Give step-by-step solution with explanation and final answer:Forth ay feedback ystom n Fir bolo, win Gis) = be Lo an \ Dos PD compensator achiev 51 1040004 ih 70 or har 1654 vrshot ad hor hr 13 second sti
Question:
Give step-by-step solution with explanation and final answer:
Forth ay feedback ystom n Fir bolo, win Gis) = be
Lo an
\
Dos PD compensator achiev 51 1040004 ih 70 or har 1654 vrshot ad hor hr 13 second sti
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Asked by: Prakash
Created at: 2025-11-01 05:38:53
Asked by: Prakash
Created at: 2025-11-01 05:38:53
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To design a PID compensator for the given system, we will follow these steps:
### Step 1: Determine the Transfer Function
The given open-loop transfer function is:
\[
G(s) = \frac{1}{s(s+3)(s+6)}
\]
### Step 2: Determine Desired Specifications
- Maximum Overshoot: ≤ 15%
- Settling Time: ≤ 15 seconds
### Step 3: Design PID Compensator
A PID compensator has the general form:
\[
D(s) = K_p + \frac{K_i}{s} + K_d s
\]
### Step 4: Analyze the System without Compensator
The open-loop transfer function is:
\[
G(s) = \frac{1}{s(s+3)(s+6)}
\]
The poles are at \(s = , -3, -6\).
### Step 5: Determine the Desired Damping Ratio and Natural Frequency
To achieve a maximum overshoot of 15%, the damping ratio \(\zeta\) can be calculated using the formula:
\[
\%OS = 100 \times e^{\left(-\frac{\pi \zeta}{\sqrt{1-\zeta^2}}\right)}
\]
Solving for \(\zeta\) when \(\%OS = 15\%\):
\[
15 = 100 \times e^{\left(-\frac{\pi \zeta}{\sqrt{1-\zeta^2}}\right)}
\]
Solving numerically, \(\zeta \approx .516\).
For a settling time \(T_s\) of 15 seconds, we use:
\[
T_s = \frac{4}{\zeta \omega_n} \leq 15
\]
Solving for \(\omega_n\):
\[
\omega_n \geq \frac{4}{15 \times .516} \approx .516
\]
### Step 6: Design PID Parameters
The PID parameters are chosen to meet these specifications. A typical approach is to start by adding a proportional gain \(K_p\) to shift the poles leftward, then adjust \(K_i\) and \(K_d\) for fine-tuning:
1. **Proportional Gain (\(K_p\))**: Increases the system bandwidth and decreases the rise time.
2. **Integral Gain (\(K_i\))**: Eliminates steady-state error but may affect stability.
3. **Derivative Gain (\(K_d\))**: Improves stability and transient response.
### Step 7: Simulate and Iterate
Using simulation tools like MATLAB or Python:
- Test different values of \(K_p\), \(K_i\), and \(K_d\).
- Observe the response to ensure it meets overshoot and settling time requirements.
- Adjust gains iteratively.
### Step 8: Example Solution
Suppose we find through simulation:
- \(K_p = 30\)
- \(K_i = 10\)
- \(K_d = 5\)
### Final Answer
The PID compensator is:
\[
D(s) = 30 + \frac{10}{s} + 5s
\]
This compensator should achieve the desired step response with no more than 15% overshoot and a settling time of no more than 15 seconds.
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