Composite Adaptive Internal Model Control Optimization Method Based on Efficient Improved Differential Evolution Algorithm

Abstract

The invention relates to a composite self-adaptive internal model control optimization method based on an efficient improved differential evolution algorithm, which belongs to the technical field of automatic control. The present invention can maintain a good global optimization function with fewer group samples and a smaller maximum number of iterations, and search for optimal identification parameters of the inverse model of the system, thereby efficiently obtaining optimal parameters for self-adaptive internal model control. Using the compound self-adaptive internal model control optimization method proposed by the present invention, the nonlinear aeroelastic vibration control system is simulated, and the experimental results show that the compound self-adaptive internal model control based on the efficient improved differential evolution algorithm in the method of the present invention is the same as Compared with the compound adaptive internal model control based on the conventional differential evolution algorithm, it has the advantages of high optimization efficiency, low calculation cost and small optimization control overshoot. It is a compound adaptive internal model control optimization method with promotion 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...

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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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