How Simulink sets regulator parameters to purely proportional action

To be honest, fuzzy pid parameters are not so easy to tune! First of all, your fuzzy rules must not deviate too much, otherwise no matter how you define them later, you won't be able to get good results, which is very troublesome.

The initial output value of the PID can be filled in directly with the steady-state value in the initialization value of the I section.

Do you mean variable pi parameters?

If so, because it is a 1D or 2D map, the ECU will look up the table and interpolate the PI parameters at intervals.

<> stickers often fail to submit, so this time it's up to you.

This should not be the basic module of simulink, right?,There is a module called discrete pid controller or pid controller in simulink.,After adding the module, click the right click to look under mask to see the internal structure.。

The top is the initial phase and frequency, and the bottom is the PID parameter inside the regulator.

The module calculates the difference between the initial phase and frequency and the actual input, adjusts the calculation through PID, and finally outputs as close to the actual value as possible.

In other words, it is best that the initial phase and frequency are the same as the actual one, and if they are not the same, the PID adjustment is required, and there is a convergence process. The length of this process is related to the PID parameters and the initial state.

1. After opening the home page of simulink, directly.

Define the relevant variables.

2. At this time, you need to establish the corresponding loop statement according to the actual situation.

3. If there is no problem in the next step, continue to enter plot(x,y) to confirm.

4. In this way, the effect of the diagram will be generated, and the PID controller transfer function can be set.

The PID module is shown in the figure below, when setting parameters, double-click the module, and the following dialog box will pop up.

The corresponding p, i, d parameters can be set, here n is generally default. Note that the PID form in MATLAB is slightly different from the PID form in the general sense, and I explained it accordingly in the answer to the following question, which you can refer to.

Here's how: Implement a continuous or discrete-time controller (PID, PI, PD, P, I) in the Simulink model. The gain of the PID controller is adjustable manually or automatically.

Automatic tuning requires Simulink control design software (PID tuner or SISO design tool). The output of the PID controller block is the signal of the weighted sum of the inputs, the integration of the input signals, and the derivatives of the input signals. Weight proportion, integral and derivative gain parameters.

Differential action of a first-order pole filter. Configuration options for the PID Controller module include: Type of controller (PID, PI, PD, P, or I) Controller form (parallel or ideal) Time domain (continuous or discrete) Initial condition and reset triggering Limit of output saturation with built-in anti-saturation mechanism Signal tracking and multi-loop control for non-fluctuating control of transmission In a common execution mode, the feedback loop in the feedforward path of the PID controller block works:

The input of the block is usually an error signal, which is the difference between a reference signal and the output of the system. For blocks of two inputs, allow weighting of the given values, see PID Controller (2 DOF)) block. You can generate a data type that enables your controller to use any simulink, including fixed-point data types.

**Generate implementations that require a fixed point of the Simulink encoder software require a fixed point toolbox).