Design method of intelligent controller
A technology of intelligent controller and design method, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as difficulties in control theory, and achieve the effect of strong adaptability
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Embodiment 1
[0053] A design method for intelligent controllers, aimed at control objects that cannot establish accurate mathematical models or have intrinsic nonlinear characteristics, such as Figure 1 to Figure 4 shown, including the following steps
[0054] 1. Data normalization
[0055] In order to eliminate the influence of the dimension on the phase trajectory diagram, it is necessary to normalize the input data of the controller, including the input signal of the control system and the output signal of the control system.
[0056] 2. Determine the ideal phase trajectory
[0057] General control system phase trajectory such as figure 2 shown. Point A in the figure e(t r )=0, the control system reaches the steady state value for the first time, so t r It is the rising time of the control system; point B The rate of change of control system error is zero, at this time, e(t p ) is the control system overshoot σ p; C point|e(t s )|≤0.02(0.05), then t s It is the adjustment t...
Embodiment 2
[0100] Take the first-order controlled object model base with delay as follows:
[0101]
[0102] The optimal PID controller with error integral IAE=∫|e(t)|dt as the performance index is compared with the intelligent controller proposed in this patent. Among them, the parameter of the optimal PID controller is K p =2.1, T I =4.63, T D =0.91; the intelligent controller parameter is e max = 1, u max = 2, u min = -2, ε = 0.01, K p , T I , T D As above, the ideal phase trajectory of the intelligent controller is given by the method of drawing points. The simulation output waveform is as Figure 4 shown.
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