What is the definition of intelligent control

Abstract: Intelligent control is a control method with intelligent information processing, intelligent information feedback and intelligent control decision-making, which is an advanced stage of control theory development and is mainly used to solve the control problems of those complex systems that are difficult to be solved by traditional methods. The main characteristics of the research object of intelligent control are mathematical model with uncertainty, high degree of nonlinearity and complex task requirements. The main difference between intelligent control and traditional control is that traditional control methods must rely on a model of the object to be controlled, while intelligent control can solve the control problems of non-modeled systems. See below for an introduction to intelligent control. I. Definition of Intelligent Control

Definition 1: Intelligent control is the process by which an intelligent machine autonomously realizes its goals. An intelligent machine, on the other hand, is defined as a machine that autonomously or interactively performs human-specified tasks in a structured or unstructured, familiar or unfamiliar environment.

Definition 2: K.J. Ostrom, on the other hand, believes that the human intuitive reasoning and trial-and-error method and other intelligence to be formalized or machine simulation, and used in the analysis and design of the control system, so that to a certain extent to achieve the control system of intelligence, which is intelligent control. He also believes that self-regulating control, adaptive control is the low-level embodiment of intelligent control.

Definition 3: Intelligent control is a class of automatic control that can autonomously drive intelligent machines to achieve their goals without human intervention, and it is also an important field of human intelligence simulated by computers.

Definition 4: Intelligent control is actually only the study and simulation of human intelligent activity and its control and information transfer process of the law, the development of engineering control and information processing systems with humanoid intelligence, an emerging sub-discipline.

Two, the basic characteristics of intelligent control

1, the core of intelligent control is high-level control. Can be a complex system (such as nonlinear, fast time-varying, complex multivariable, environmental disturbances, etc.) for effective global control. Realize the generalized problem solving. And has a strong fault tolerance.

2, intelligent control system can be expressed in terms of knowledge of non-mathematical generalized model and mathematical representation of the hybrid control process, using open and closed-loop control and qualitative decision-making and quantitative control combined with multimodal control.

3, its basic purpose is to analyze and synthesize the system from the point of view of system function and overall optimization. In order to achieve the intended goal. Intelligent control system has a variable structure characteristics, can overall self-optimization. With self-adaptation, self-organization, self-learning and self-coordination.

4, the intelligent control system has enough about the human control strategy, the controlled object and the environment of the relevant knowledge and the ability to use this knowledge.

5, intelligent control system has compensation and self-repair ability and judgment decision-making ability.

Three, the application of intelligent control

1, intelligent control in the production process

Intelligent control in the production process mainly includes local-level intelligent control and global-level intelligent control.

Local level intelligent control refers to the introduction of intelligence into the process of a unit of controller design. The research hotspot is the intelligent PID controller, because it has obvious advantages in the parameter tuning and online adaptive adjustment, and can be used to control some nonlinear complex objects.

Intelligent control at the global level is mainly aimed at the automation of the entire production process, including the control of the entire operating process, fault diagnosis of the process, planning the process operation to deal with abnormalities and so on.

2. Intelligent control in advanced manufacturing systems

Intelligent control is widely used in the machinery manufacturing industry. In modern advanced manufacturing systems, which need to rely on data that are not complete and precise enough to solve difficult or unpredictable situations, artificial intelligence technology provides some effective solutions to this challenge.

(1) The use of fuzzy mathematics and neural network methods to model the dynamic environment of the manufacturing process, and the use of sensor fusion technology to preprocess and synthesize information.

(2) Using expert system as feedback mechanism to modify the control mechanism or select better control mode and parameters.

(3) Use fuzzy set decision-making selection mechanism to select the control action.

(4) Utilizing the learning function of neural networks and the ability to process information in parallel, on-line pattern recognition is performed to deal with information that may be crippled.

3. Intelligent control in power system

The design, production, operation and control of electrical and electronic equipment such as generators, transformers, motors and other electrical equipment in the power system is a complex process, and electrical workers at home and abroad have introduced artificial intelligence technology into the optimal design, fault diagnosis and control of electrical equipment, and have achieved good control results.

(1) Optimization of the design of electrical equipment with genetic algorithm can reduce costs, shorten the calculation time, improve the efficiency and quality of product design.

(2) Intelligent control technologies applied to fault diagnosis of electrical equipment are fuzzy logic, expert systems and neural networks.

(3) The application of intelligent control in current control PWM technology is one of the representative directions of technology application and one of the new hot spots of research.