PID Control System Design and Automatic Tuning using MATLAB/Simulink. Liuping Wang

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PID Control System Design and Automatic Tuning using MATLAB/Simulink - Liuping Wang

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       Find the PI and PID controller parameters using Ziegler–Nichols tuning rule and simulate the closed-loop control systems.

      Solution. We build a Simulink simulation program for proportional control as illustrated in Figure 1.1. Since this system has a negative steady-state gain of , so the feedback control gain should be negative.3 Beginning the tuning process by setting and decreasing gradually to , the closed-loop control system exhibits sustained oscillation as shown in Figure 1.12. From this figure, the period of oscillation reads as 3.35. Based on Table 1.1, the proportional gain for the PI controller is and the integral time constant The proportional gain for the PID controller is , , and The PI and PID control systems are simulated where the reference signal is a unit step signal. Figure 1.13 compares the closed-loop output responses based on the PI and PID controller structures. Here the derivative control is implemented on the output only with a filter time constant . It is seen that with the derivative term, the closed-loop oscillation existing in the PI controller is reduced.

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      It is important to point out that generating sustained oscillation by increasing the controller gain is not a safe operation because a small error in the tuning process could cause the closed-loop system to become unstable. This unsafe procedure is replaced by using relay feedback control in Chapter 9, which also produces a sustained closed-loop oscillation.

Image described by caption and surrounding text.

      1.3.2 Tuning Rules based on the First Order Plus Delay Model

      The majority of tuning rules existing in the literature are based on a first order plus delay model, which has the following transfer function:

      where images is the steady-state gain of the system, images is the time delay, and images is the time constant. This is mainly because the primary applications of tuning rules are for process control where typically the process is stable with time delay. There are many methods available for obtaining a first order plus delay model. Among them is an incredibly simple procedure that is called fitting a reaction curve. This reaction curve is the so-called step response test.

      (1.45)equation

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      The time delay images is shown in the figure, which is the delayed time when the output responds to the change in the input signal. The parameter time delay images reflects the situation that the output response remains unchanged despite the step input signal being injected. Thus, it is estimated using the time difference between when the step reference change occurred (images for this figure) and when the output response moved away from its steady-state value (see the time interval in Figure 1.14(b) marked with the first set of arrows). A line with maximum slope is drawn on Figure 1.14(b), which is intersected with the line corresponding to the indicator of images. The intersecting point shown in Figure 1.14(b) determines the value of

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