Optimum design method of controller structure and controller parameter based on differential evolution algorithm

Abstract

The invention discloses an optimum design method of a controller structure and a controller parameter based on a differential evolution algorithm. The method comprises the following steps: step 1, stipulating a connection direction between controller links, and representing the controller structure as a binary one-dimensional vector; step 2, setting constraints of controller output quantity according to constraint conditions of a controlled object of a controller during the operation; step 3, adopting a two-layer optimization strategy on the optimization solution of the controller structure and the controller parameter, performing optimization solution on the one-dimensional vector of the controller structure by using a binary geometric differential evolution algorithm on an outer layer,and performing the optimization solution on the one-dimensional vector of the controller parameter by using a JADE algorithm on an inner layer. According to the method disclosed by the invention, under the premise of given controller composition links and design indexes, the interconnection relationship between the links and the parameters of the links can be determined for the given controlled object to obtain the controller structure and the controller parameter, which satisfy expected performance indexes.

Description

technical field [0001] The invention belongs to the technical field of intelligent optimization control, and in particular relates to an optimal design method of a controller structure and parameters based on a differential evolution algorithm. Background technique [0002] With the wide application of automatic control technology in industrial production, navigation system, weaponry and other fields, the design method of controller has been developed rapidly. Among them, the PID controller has been widely used in various fields because of its simple structure and easy-to-understand principle. However, its parameter setting needs to rely on the knowledge of professionals and the experience accumulated in engineering practice. This process will consume a lot of time and manpower, thus increasing the difficulty of PID controller design. Commonly used parameter tuning methods include Ziegler-Nichols tuning rules, PID parameter tuning rules proposed by Astrom and Hagglund, rela...

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Problems solved by technology

[0004] However, although these controller design methods can realize the design of controller parameters through optimization algorithms, the structure of the controller is fixed, which greatly limits the further improvement of the controller performance.

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