Embedded type cooperating intelligent controller

Abstract

The invention discloses an embedded type collaborative intelligent controller, relates to the intelligent control technical field, is designed based on a principle of the bilateral regulation for growth hormone of a neuroendocrine system, and has the characteristics of bilateral regulation and self-adaptive ability, the support of remote access, and the like. The intelligent controller is composed of an input interface circuit (16), a procedure and data memorizer (17), a memory interface circuit (18), an SDRAM memorizer (19), an output interface circuit (20), a central processing unit (21), and a communication interface circuit (22) which are connected by electrical signals. The invention has the characteristics that a control algorithm module (6) comprises a comparison segment (2) which is used for generating a deviation, a reinforcing control unit (3) which is used for quickly eliminating a control deviation, an inhibitory control unit (4) which is used for stably eliminating the control deviation and a collaborative control unit (5) which is used for bilaterally coordinating the control effect. Compared with the traditional PID controller, the invention has better stability, robustness and capacity of resisting disturbance.

Description

technical field [0001] The present invention relates to the technical field of intelligent control, and specifically refers to an embedded controller with two-way coordinated regulation, which is designed based on the principle of two-way regulation of growth hormone in the neuroendocrine system, has two-way regulation and self-adaptive capabilities, and has a new type of controller that supports remote access. Embedded Intelligent Controller (EIC). Background technique [0002] In recent decades, artificial intelligence has attracted increasing attention from many scholars and engineering researchers, and has become an extensive interdisciplinary subject. Since the early 1990s, many control technologies using intelligent control algorithms have appeared, such as neural network control, fuzzy control, genetic control, etc. However, because most of these algorithms are relatively complex, it is difficult to implement them in practical applications. Therefore, in the current ...

AI Technical Summary

Problems solved by technology

With the development of human society and especially the continuous expansion of the scale of industrial processes, more and more complex control objects appear, and the requirements for control quality are also getting higher and higher, making it difficult for traditional control technologies to meet the needs of industrial process control. development needs

In view of the current status of control requirements, it is urgent to research and develop new intelligent control algorithms based on the latest artificial intelligence technology, combined with traditional control technology, in order to overcome the complexity of the original control algorithm in practical applications, difficult to implement, unsatisfactory control effect and difficult Realize remote control and other issues

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