摘要
当前，市场对机电一体化的技术要求越来越高。为了推动机电一体化发展迈上新阶段，必须利用好信息技术，将智能控制运用到工业生产过程中，通过设备来控制生产进度和质量，降低人力和物力成本，为机电一体化提供更大的经济效益。随着工业产品附加值的不断提高，对产品精度要求越来越高，加速了工业生产过程的复杂程度，对机电一体化系统的功能提出了更高的要求。基于此，本次我们将重点探讨智能控制的特点及其在机电一体化中的应用。
关键词： 智能控制；机电一体化；应用
Abstract
At present, the market has higher and higher technical requirements for mechatronics. In order to promote the development of mechatronic integration to a new stage, we must make good use of information technology, intelligent control applied to the process of industrial production, through the equipment to control the progress and quality of production, reduce the cost of human and material resources, to provide greater economic benefits for mechatronic integration. With the continuous increase of the added value of industrial products, the product precision requirements are higher and higher, accelerating the complexity of the industrial production process, and put forward higher requirements for the function of electromechanical integration system. Based on this, this time we will focus on the characteristics of intelligent control and its application in mechatronics.
Key words： Intelligent control, Mechatronics integration, Application
参考文献 References
[1] Chen Xu. Research on Risk Management of Engineering Project Three Control [D]. Tianjin University of Science and Technology, 2021.
[2] Xu Wang, Yilong Liao. Application Analysis of Intelligent Control in Mechatronic System [P]. 2020 7th International Conference on Machinery, Mechanics, Materials, and Computer Engineering, 2020.
[3] Changwon Kim, Yeesock Kim, Ohwon Kwon, Joonho Seo, Dongkyu Lee, Hak Yi. An application of the brain limbic system—based control to the electromechanical brake system [J]. Advances in Mechanical Engineering, 2018, 10(2).
[4] Yan Li, Yang Chen. Application of Variable Structure Control Base on Kalman Filter Rearch Law to Electro-Mechanical Actuator [J]. Applied Mechanics and Materials, 2012, 2025(220-223).
[5] Liu Zhizhuang, Hong Tiansheng, Zhang Wenzhao, Fan Zhiping. Fuzzy control implementing and testing on electromechanical flow valve [J]. Transactions of the CSAE, 2010, 26(s1).
[6] Roberto Horowitz. Learning Control Applications to Mechatronics [J]. JSME international journal. Ser. C, Dynamics, control, robotics, design and manufacturing, 1994, 37(3).