The Study And Practice Of Key Control Strategies For Electromchanical Tension Systems

Tension control technology is one of the common technologies exclusively used in the engineering industry such as wire saw machine, IC manufacture, printing equipment, fibre wind and etc. Along with the modern wind machine developing to higher speed and precision, tension control technology becomes more important. Due to the fact that tension system can be affected by many facts and its structures are complex, as well as its deep coupling, nonlinearity, time-variability, and indeterminacy of its parameters, there are still many problems on its basic theoretics, checking and measuring technology and control technology to be solved. It is one of the problems of significance research for the technician to study.Taking"The Study and Practice of Key Control Strategies for Electromchanical Tension Systems"as a main topic,this doctoral dissertation analyzes the dynamic coupling relationship among the subsystems of complex electromechanical tension systems, studies the method of coupling modeling of complex electromechanical tension system and explores its self-adjusting intelligent--decoupling control strategies which is based on neutral net work. The study investigates thoroughly the typical electromechanical tension systems– Multi Saw Wire, establishes its coupling modeling and intelligent-decoupling control strategy. Furthermore, the software and hardware of the real time control system and tension experiment platform are developed to verify the contents demonstrated in this dissertation. The main ideas of this dissertation are stated as follows:This dissertation studies the theory of coupling modeling in electromechanical tension systems as a whole. In the procedure of dynamic coupling modeling in the tension system, there are always problems of low precision in modeling based on pure mechanical theory and poor extend performance in model parameter identification algorithm. Aiming at solving these problems, the study proposed a technological framework of coupling modeling based on mechanical theory, thus solving the problem of dynamic coupling modeling for targets with nonlinearity, multi-variable and deep coupling in large scale. Coupling modeling shows the coupling relationship among all sub-systems such as net-work like, multi-interface, nonlinearity feedback as well as self-organization rule, thus overcoming the defects of traditional modeling method. The...