Composite adaptive internal model control optimizing method based on efficient improved type differential evolution algorithm

Abstract

The invention relates to a composite adaptive internal model control optimizing method based on an efficient improved type differential evolution algorithm, and belongs to the technical field of automatic control. A good global optimizing function can be maintained under the conditions of fewer population samples and smaller maximal iteration times, and the optimized identification parameters of asystem inverse model are searched, so that adaptive internal model control optimized parameters are efficiently acquired. A non-linear pneumatic elastic vibration control system is subjected to a simulation experiment by the composite adaptive internal model control optimizing method provided by the invention; the experiment result indicates that compared with the composite adaptive internal model control based on the conventional differential evolution algorithm, the composite adaptive internal model control optimizing method based on the efficient improved type differential evolution algorithm has the advantages of high optimizing efficiency, low calculation cost, small optimizing control overshoot and the like, and is a composite adaptive internal model control optimizing method with popularization value.

Description

technical field [0001] The invention belongs to the technical field of automatic control, and relates to a compound self-adaptive internal model control technology based on an intelligent evolutionary optimization algorithm, and mainly relates to a control technology of a nonlinear aeroelastic vibration system. Background technique [0002] Internal model control is a control strategy based on process mathematical model for controller design. Because of its simple design, good control performance, good robustness, and ease of application, it is widely used in industrial process control. Adaptive internal model control is a combination of adaptive control method and internal model control method, because of the combination of their respective advantages, the control effect is better. [0003] The traditional adaptive internal model control obtains the system process model and adaptively adjusts the filter parameters, so that the parameters of the internal model controller ad...

AI Technical Summary

Problems solved by technology

However, the long optimization time of the traditional differential evolution algorithm affects the real-time performance of the control, but if the optimization time is shortened, the control optimization results will deteriorate. Therefore, it is necessary to study an efficient differential evolution algorithm with excellent optimization performance to realize the optimization of the compound adaptive internal model control. to meet the real-time and robustness requirements of industrial applications

[0006] However, in practical industrial applications, the adaptive internal model control system is required to have better real-time performance. Although the differential evolution algorithm can obtain a more accurate inverse model of the system, it requires a long optimization calculation time

If the calculation time of differential evolution is greatly shortened, it is difficult to ensure an excellent evolutionary optimization effect

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