Introduction on the Discipline of Detection Technology and Automation Devices
The discipline enrolls undergraduate students since 1978. From 1988, under the leadership of the famous automatically control experts Professor Li Youshan , the discipline successively begun to joint training the master of graduate student with the Harbin Institute of Technology, the University of Yanshan, Huazhong University of Science and Technology. It began to recruit Master graduate student independent from 2002, joint training doctoral students with Yanshan University and Hebei University of Technology from 2007 and was awarded the provincial key disciplines in 2012 . There are 16 teachers in our discipline, including two doctoral tutors, a teaching master in Hebei Province, a vice chairman of Hebei Province and Institute of Automation, famous foreign journals deputy editor. The major of Automation as the brand specialties major at the provincial level, begun enroll their undergraduates in 2008, built "Principles of Automatic Control" and others three provincial quality courses.
In the years of teaching and research practice, the discipline gradually formed the three stable research directions: Process Parameters Detection and Intelligent Control Technology, Motion Control and The Application of Complex Systems Theory, Electrical Equipment Detection and Condition Assessment Technologies.
The direction of "Process Parameters Detection and Intelligent Control Technology" makes process parameter detection and intelligent control technology applied to the fields of industry and national defense directly in order to services for economic development through science and technology. We mainly study and solve the basic theory and key technology of computer which used in the field of measurement and control and the developed of computer monitoring and control system. "XXX command and control systems mainly to solve the problem of the control of direct-fire weapons combat shooting all types of device, mobile command and control platform and automatic target. It has been engaged in the optimization and control of pipe welding process parameter, has finished steady-state mathematical model analysis to the high frequency welded pipe welding process, the double pipe volumes brazing process and the galvanized coated double roll pipe preheating process and proposed the fuzzy adaptive control methods of which is suitable conditions integrated automatic control scheme and have a hierarchical structure.
The direction of "Motion Control and The Application of Complex System Theory" carry out the optimization of control technology for electromagnetic actuator components and complex industrial processes. As for motor drives and servo applications as well as a class of nonlinear, uncertain, and large delay complex systems, the effective controller, filter design methods and robust control methods are put forward. The developed intelligent expert fuzzy control systems are successfully applied to the joint alkali production process, improve the traditional PID control, and achieve significant economic benefits. The launched technology research of fuzzy robust control enriches control theory and optimal control methods.
The direction of "Electrical Equipment Detection and Condition Assessment Technologies " carry out theoretical and applied research for the quantitative detected problems of rapid automatic detection system, energy conversion devices and non-destructive testing techniques in general aviation aircraft electronic systems assembly. We mainly use numerical analysis methods to find the relationship between surface features and internal structure of electrical equipment, utilize sensors technology and detection technique to achieve the operating characteristics and detection for fault characterization of electrical equipment, take advantage of artificial intelligence and information fusion technology to determine the electronic equipment failure classification and fault location, make use of communication technology and computer technology to achieve remote monitoring and diagnostics of electrical equipment and finally achieve the early judgment of the electrical equipment failure and an accurate assessment of the condition.
In the years of teaching and research practice, the discipline gradually formed the three stable research directions: Process Parameters Detection and Intelligent Control Technology, Motion Control and The Application of Complex Systems Theory, Electrical Equipment Detection and Condition Assessment Technologies.
The direction of "Process Parameters Detection and Intelligent Control Technology" makes process parameter detection and intelligent control technology applied to the fields of industry and national defense directly in order to services for economic development through science and technology. We mainly study and solve the basic theory and key technology of computer which used in the field of measurement and control and the developed of computer monitoring and control system. "XXX command and control systems mainly to solve the problem of the control of direct-fire weapons combat shooting all types of device, mobile command and control platform and automatic target. It has been engaged in the optimization and control of pipe welding process parameter, has finished steady-state mathematical model analysis to the high frequency welded pipe welding process, the double pipe volumes brazing process and the galvanized coated double roll pipe preheating process and proposed the fuzzy adaptive control methods of which is suitable conditions integrated automatic control scheme and have a hierarchical structure.
The direction of "Motion Control and The Application of Complex System Theory" carry out the optimization of control technology for electromagnetic actuator components and complex industrial processes. As for motor drives and servo applications as well as a class of nonlinear, uncertain, and large delay complex systems, the effective controller, filter design methods and robust control methods are put forward. The developed intelligent expert fuzzy control systems are successfully applied to the joint alkali production process, improve the traditional PID control, and achieve significant economic benefits. The launched technology research of fuzzy robust control enriches control theory and optimal control methods.
The direction of "Electrical Equipment Detection and Condition Assessment Technologies " carry out theoretical and applied research for the quantitative detected problems of rapid automatic detection system, energy conversion devices and non-destructive testing techniques in general aviation aircraft electronic systems assembly. We mainly use numerical analysis methods to find the relationship between surface features and internal structure of electrical equipment, utilize sensors technology and detection technique to achieve the operating characteristics and detection for fault characterization of electrical equipment, take advantage of artificial intelligence and information fusion technology to determine the electronic equipment failure classification and fault location, make use of communication technology and computer technology to achieve remote monitoring and diagnostics of electrical equipment and finally achieve the early judgment of the electrical equipment failure and an accurate assessment of the condition.