PID controller parameter selection method based on random algorithm
A random algorithm and random number technology, applied in the direction of adaptive control, general control system, control/adjustment system, etc., can solve the problems of a large number of human resources, low work efficiency, repetitive workload, etc., achieve flexible use and improve work efficiency , Increase the effect of the development cycle
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Embodiment 1
[0121] 1) Embodiment 1: Select PI controller control parameters
[0122] The controller of the parameter to be selected in embodiment 1 is a PI controller, and the parameter to be selected is a proportional coefficient and integral coefficient , the controlled object is a DC permanent magnet synchronous motor, both of which are built in Matlab / Simulink software. described as:
[0123]
[0124]
[0125] refer to Figure 5 , and the number of cycles is selected as 500 times, the experimental results are shown in the figure, and the abscissa is the parameter range, the ordinate is the parameter The circles in the figure represent the points that meet the judging criteria, and the stars represent the points that do not meet the judging criteria. From the information in the figure, we can get the points that meet the requirements with scope.
[0126] refer to Figure 6 , due to the characteristics of PI controller and DC permanent magnet motor, the time required...
Embodiment 2
[0130] 2) Embodiment 2: Selecting PID controller parameters
[0131] From the simulation results of Example 1, it can be seen that the random number controller parameter selection method proposed by the present invention can meet the control requirements when two parameters are selected. In order to further illustrate, this embodiment performs simulation verification on the PID controller, hoping to achieve The control standard is that the maximum error is greater than -2 and less than 2, and the average error is greater than -0.4 and less than 0.4. The simulation results refer to Figure 9 to Figure 11 :
[0132]
[0133]
[0134] refer to Figure 9 , the circles in the figure indicate the parameter values whose control results meet the requirements, and the stars indicate the parameter values whose control results do not meet the requirements. Select K1=170, K2=0.2, and K3=1500 from the figure to conduct simulation experiments to verify the control results.
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