In today's society with continuous development of science and technology, electromechanical integration technology has been further applied and popularized. At present, intelligent control is widely used in industry, machinery manufacturing, power electronics and other research fields, and also in electromechanical integration systems. This paper mainly introduces the types and advantages of intelligent control system, briefly expounds the intelligent control system currently used, and finally discusses the effect of intelligent control in the application of mechatronics.
Intelligent control; Mechatronics; App application
With the continuous development of social science and technology, electromechanical integration technology has been further applied and popularized. At present, intelligent control research has been widely used in industry, machinery manufacturing, power electronics and other fields. In the mechatronics system, intelligent control is also widely used. In this paper, the types and advantages of intelligent control system, as well as the current use of intelligent control system are briefly described. Finally, the effect of intelligent control in the application of mechatronics is discussed.
Keywords intelligent control; Mechatronics; app; application
Electromechanical integration technology refers to a comprehensive technology that combines mechanical technology, microelectronics technology, power electronics technology, information technology and other technologies and applies them to practice. With the development of mechatronics, the technical level of control in mechatronics system is getting higher and higher, and the original control technology can no longer meet the requirements of mechatronics system. Therefore, people began to turn their attention to the rapidly developing intelligent control, hoping to achieve the control purpose of electromechanical integration system through intelligent control. Therefore, this paper will analyze the characteristics and main methods of intelligent control, and discuss how to apply intelligent control to electromechanical integration system, so as to better realize the control of electromechanical integration system.
1. Intelligent control
1. 1 Introduction
Intelligent control is an automatic control technology, which can drive intelligent machines to achieve control objectives without human intervention. The development of control theory has a history of 100 years. Classical control theory? And then what? Modern control theory? Has entered the development stage. Large-scale system theory? And then what? Intelligent control theory? Stage. The research and application of intelligent control theory is the extension of modern control theory in depth and breadth. Since the 1980s, the rapid development of information technology, computing technology and the development and mutual penetration of other related disciplines have also promoted the deepening of control science and engineering research, and it has become a trend for control systems to develop into intelligent control systems. Intelligent control integrates many disciplines, such as automatic control, artificial intelligence, information theory and operational research. It overcomes many shortcomings of traditional control theory and can be used to control various complex systems.
1.2 comparison between intelligent control and traditional control
First of all, intelligent control includes traditional control, which is an advanced stage of traditional control. Compared with traditional control, intelligent control has stronger comprehensive information processing ability and can optimize the system as a whole. Structurally, the distributed, hierarchical and open structure of intelligent control is also more advanced than traditional control.
Secondly, intelligent control is the result of interdisciplinary, so it is more perfect than traditional control in theoretical system. Intelligent control system has enough knowledge about human control strategy, controlled object and environment and the ability to use this knowledge. Intelligent control system can adopt non-mathematical generalized model represented by knowledge and mixed control process represented by mathematics, and adopt multi-modal control mode combining open-closed loop control with qualitative and quantitative control.
Thirdly, the intelligent control system has the characteristics of variable structure, self-optimization, self-adaptation, self-organization, self-learning and self-coordination. The applicable objects and tasks of intelligent control can be more complex and highly nonlinear, and the model can be uncertain. At the same time, the intelligent control system has the ability of compensation and self-repair, as well as the ability of judgment and decision.
Finally, the intelligent control system can also express the mixed control process mathematically, describe the non-mathematical generalized model with knowledge, and adopt multi-modal control mode, which is the embodiment of the combination of qualitative decision-making, quantitative control and open-closed loop control.
1.3 main methods
At present, the main methods of intelligent control are genetic algorithm control, neural network control, fuzzy system control, expert system control, hierarchical control, combined intelligent control, chaos control, integrated intelligent control, wavelet theory and so on.
2. Application of intelligent control in mechatronics system
2. 1 application of intelligent control in mechanical manufacturing process
Intelligent machining technology is a technology of cutting, welding, surface treatment, punching and micromachining materials (including metals and nonmetals) by using the characteristics of interaction between intelligent beams and substances. Intelligent research on technology is the premise of the application of intelligent machining technology. Mechanical manufacturing is an important part of mechatronics system. At present, the most advanced mechanical manufacturing technology is to organically combine intelligent control technology with computer-aided technology, and develop towards intelligent mechanical manufacturing technology. Its ultimate goal is to replace part of mental work with advanced computer technology, and to simulate human activities of manufacturing machinery from the course papers of mechatronics system design. At the same time, intelligent control technology uses neural network and fuzzy system to dynamically simulate the current situation of mechanical manufacturing, and preprocesses the collected information through sensor fusion technology, thus modifying the parameter data in the control mode. In this process, some incomplete information is effectively processed by using the parallel processing and learning function of neural network technology, and some fuzzy information is collected into the outer-loop decision-making mechanism of closed-loop control by using the fuzzy relationship of fuzzy system and the unique characteristics of fuzzy set to select the corresponding control action. The application fields of intelligent control in mechanical manufacturing include: intelligent diagnosis of mechanical faults, intelligent monitoring and detection of mechanical manufacturing systems, intelligent sensors and intelligent learning.
2.2 Application of intelligent control in robot field
Usually, robots in dynamics are nonlinear, strongly coupled and unstable. Because of the huge amount of information and many control parameters, it is necessary to realize the sensitivity and rapidity of robot processing information and parameters through intelligent control. At present, intelligent control technology has been widely used in all aspects of the robot field. In dynamics, robots are nonlinear, time-varying and strongly coupled. In terms of control parameters, it is multivariable; On the sensor information, it is informative; As far as the requirements of control tasks are concerned, it is multi-tasking. Therefore, from the analysis of these aspects, it can be concluded that intelligent control is very suitable for the robot field. In addition, intelligent control technology is widely used in the robot field, such as robot path planning, robot positioning and trajectory tracking, robot autonomous obstacle avoidance, robot attitude control and so on. In the field of robots, people can use fuzzy control, artificial neural network and expert system technology in intelligent control to model and detect the environment, locate robots, and make automobiles flexible. In order to improve the adaptability of the robot system, people can comprehensively use several intelligent control technologies. For example, when walking, the robot can actively avoid obstacles or follow a specified path, in which the mechanical arm can complete the corresponding expected actions according to the instructions. All the above contents are realized by using computer neural network intelligent control technology, which shows that the application of intelligent control in robot field is becoming more and more mature.
2.3 Application of Intelligent Control in AC Servo System
Servo drive device is a conversion element and device that converts electrical signals into mechanical actions, which determines the function and quality of control and the dynamic performance of the system. It is an important part of mechatronics. The development of power electronics technology in intelligent control can improve the performance of AC speed regulation system and realize the transformation from DC servo system to AC servo system. The introduction of intelligent control into AC servo system can help AC servo system to cope with some uncertain factors such as load disturbance, time-varying parameters, serious nonlinear characteristics of controlled object and AC motor, strong coupling and so on, and help AC servo system to obtain satisfactory PID parameters through uncertain models to meet the requirements of high performance index of the system.
Intelligent PID can be formed by combining conventional PID control with intelligent control technology. The method is to introduce artificial intelligence into the controller through nonlinear control mode, so that the control performance of the system is better, and it can be automatically adjusted without relying on controller parameters and accurate mathematical models, thus enhancing the adaptability of the system.
2.4 Application of intelligent control in the field of numerical control
With the development of science and technology, the development of mechatronics technology in China has put forward higher requirements for numerical control technology, which not only needs to complete many intelligent functions, but also needs new intelligent functions such as expansion, simulation and extension, so that numerical control technology can realize intelligent programming, intelligent monitoring and intelligent database building, and these goals are achieved by using intelligent control technology. For example, the expert system can be used to comprehensively deal with some problems in the field of numerical control that are difficult to determine and unclear in structure, and then some numerical control fault information in the field of numerical control can be inferred by using reasoning rules, so as to obtain some guiding suggestions for maintaining numerical control machinery; Fuzzy system technology can be used to optimize the machining process of CNC machinery and adjust some fuzzy parameters, so as to find out the faults of CNC machinery more clearly and find out the corresponding solutions. In the field of numerical control, genetic evolution algorithm can also be used to find the best machining path of numerical control system; You can also use the prediction and budget functions in intelligent control to strengthen the comprehensive motion control during high-speed machining.
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