What Is Intelligent Control?

Intelligent control is a control method with intelligent information processing, intelligent information feedback, and intelligent control decision-making. It is an advanced stage of the development of control theory. It is mainly used to solve the control problems of complex systems that are difficult to solve with traditional methods. The main characteristics of intelligent control research objects are mathematical models with uncertainty, highly nonlinear and complex task requirements.

The idea of intelligent control appeared in the 1960s. At that time, the study of learning control was very active and was well applied. For example, self-learning and adaptive methods have been developed to solve the problem of random characteristics and unknown models of control systems; Purdue University in 1965

Definition of intelligent control 1: Intelligent control is the process by which intelligent machines achieve their goals autonomously. and

Intelligent control

The main goal of intelligent control research is no longer the controlled object, but the controller itself. The controller is no longer a single mathematical model analysis type, but a generalized model combining mathematical analysis and knowledge systems. It is a control system that combines knowledge from multiple disciplines. Intelligent control theory is to establish the control of the characteristic pattern recognition of the controlled dynamic process, the reasoning based on knowledge and experience, and intelligent decision-making. A good intelligent controller itself should have the characteristics of multi-mode, variable structure, variable parameters, etc. It can identify, learn and organize its own control mode according to the characteristics of the controlled dynamic process, change the controller structure and adjust the parameters. ^[4]

The main difference between intelligent control and traditional control is that traditional control methods must rely on the model of the controlled object, and intelligent control can solve the control problem of non-modeled systems. Compared with traditional control.

Intelligent control has the following basic characteristics:

1) The core of intelligent control is high-level control. Effective global control of complex systems (such as non-linear, fast time-varying, complex multivariable, and environmental disturbances). Achieve generalized problem solving. And has strong fault tolerance.

2) The intelligent control system can use a non-mathematical generalized model represented by knowledge and a hybrid control process represented by mathematics. It adopts a multi-modal control method combining open-closed loop control, qualitative decision-making and quantitative control.

3) The basic purpose is to analyze and synthesize the system from the perspective of system function and overall optimization. To achieve the intended goal. The intelligent control system has the characteristics of variable structure, and can optimize itself overall. With self-adaptation, self-organization, self-learning and self-coordination capabilities.

4) The intelligent control system has sufficient knowledge about human control strategies, controlled objects and the environment, and the ability to use this knowledge.

5) The intelligent control system has the ability to compensate and self-repair and to make decisions. ^[5]

The specific application of intelligent control is mainly manifested in the following aspects:

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 design of controllers by introducing intelligence into a unit in the process. The research hotspot is the intelligent PID controller, because it has obvious advantages in parameter tuning and online adaptive adjustment, and can be used to control some non-linear complex objects.

Global-level intelligent control is mainly aimed at the automation of the entire production process, including control of the entire operation process, process fault diagnosis, and planning process operation and processing exceptions.

2) Intelligent control in advanced manufacturing systems

Intelligent control is widely used in the machinery manufacturing industry. In modern advanced manufacturing systems, it is necessary to rely on incomplete and inaccurate data to solve difficult or unpredictable situations. Artificial intelligence technology provides some effective solutions to this problem.

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

(2) Adopt an expert system as the feedback mechanism, modify the control mechanism or choose a better control mode and parameters.

(3) Use fuzzy set decision selection mechanism to select control actions.

(4) Use the learning function of the neural network and the ability to process information in parallel to perform online pattern recognition and process information that may be incomplete.

3) Intelligent control in power system

The design, production, operation, and control of electrical equipment such as generators, transformers, and motors in power systems are a complex process. Electrical workers at home and abroad have introduced artificial intelligence technology to the optimal design, fault diagnosis, and control of electrical equipment. And achieved a good control effect.

(1) Using genetic algorithms to optimize the design of electrical equipment can reduce costs, shorten calculation time, and improve the efficiency and quality of product design.

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

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

In recent years, intelligent control technology has developed greatly at home and abroad, and has entered the stage of engineering and practicality. As an emerging theoretical technology, it is still in a development period. With the rapid development of artificial intelligence technology and computer technology, intelligent control will usher in a new era of its development. ^[6]