Papers by Author: Jun Tang

Abstract: The rapid development of information technology has become the important factors that influence economy and people life, automatic control principle course teaching has extensive theoretical and practical value, thus to explore to adapt to the new situation of the automatic control principle course teaching become a problem to be solved. Automatic control theory teaching experiment system based on network was proposed, it is the use of multimedia courseware and the resistance furnace temperature control system is set up network teaching platform, not only more convenient teacher prepares a lesson, class teaching content more rich vivid, but also students can better understand and communicate through the network has been to learn knowledge, and can be learned through simulation test, for the follow-up professional courses to lay a good foundation.

Abstract: As the pulp consistency system has a big lag behind with uncertain model, the precise control of the pulp consistency could be achieved by making use of the respective advantages of variable domain fuzzy control method and the PID control method based on PSO, and shifting between these two controllers by fuzzy soft handoff switch.

Abstract: In view of the characteristics of the preparation of an adhesive process which is lengthy, nonlinear, time-varying, big inertia and pure delay, A Proportional-Integral-Derivative (PID) algorithm is proposed based on the improved particle swarm optimization. Because there are drawbacks in the design of PID controller, an improved particle swarm optimization which takes into account a number of performances is propesed to modified parameters of PID controllers. In which the variation of genetic algorithm is introduced to the standard particle swarm optimization algorithm, which can avoid local maximum points, thus the preferable PID controller parameters are easily obtained. Applying the algorithm to the preparation of an adhesive process, the temperature of polymerizing-kettle can be tracked and controlled. Simulation and factual running shows that the algorithm is effective and has excellent performance.