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Fuzzy control problem:(1)input 2 expects a value in range [-1.5 1.5], but has a value of 4.36559e+24;
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Hi 柯,
Do you have the corresponding tuned PID gain values for the disturbances?
For instance, in Condition 1 ( minimum operating point), you have the specific PID gain values for compensating the disturbance. Then, in Condition 2 ( maximum operating point), you have another set of PID values.
If you possess these two sets of PID values, then fuzzy logic would be a suitable tool for performing interpolation between the two sets, in order to determine the appropriate PID gains for intermediate operating conditions.
- First, remove the Pre-filter and the Filtered Derivative components from the existing control architecture.
- Next, replace the entire fuzzy PID controller with the built-in PID controller, as suggested.
- then click the "Tune" button to initiate the auto-tuning process, which should determine the optimal values for the P, I, D, and N parameters according to the default setting.
- After completing the auto-tuning, provide the following information:
- A block diagram to demonstrate the correct replacement of the control components.
- The values of the auto-tuned P, I, D, and N parameters.
- A plot that compares the Actual Temperature and the Desired Temperature, allowing us to assess the performance of the new control system.
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- Are you satisfied with the Cabin Temperature response converging at around 1,200 seconds?
- If not, what is the desired settling time? For example, would you prefer it to converge around 600 seconds (equivalent to 10 minutes)?
- What is the amplitude of the external disturbance?
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- The estimated mathematical model of the process system being controlled.
- The nature of the disturbance (constant, state-dependent, or time-dependent).
- The strategies employed by controllers to reject the corresponding disturbance.
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