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The software of auto-tuning parameters of PID control is developed for industrial controller. The output response curve of control system is recognized, and the scopes of the controller parameters are given to meet expected control index by fuzzy tuning rules based on pattern recognition. The PID parameters are optimized by means of genetic algorithm based on the optimization function of over-shoot,...
This paper presents the design, development and implementation of an automation system of batch process suitable for vulcanization accelerator production applications. The unique feature of the accelerator production process is that it has complex nonlinear, time-varying and large time-delay characteristics. Based on its kinetics characteristics and technical analysis of the batch process, adaptive...
Friction exists in all motions, and friction is the key factor that influences the low velocity performance of servo systems. It usually caused the steady-state error of servo systems and resulted in the creeping phenomenon in low velocity motions. Friction is complicated nonlinear process with time-varying uncertainties. The traditional PID controller of servo systems with fricition was not satisfactory...
The running characteristics of tasks are uncertain in an unpredictable environment. So the workload of a soft real-time system is time varying, too. An adaptive performance control model which combines the PID and fuzzy feedback technologies is presented. When the system performance deviation is lower than the threshold value, the adaptive feedback control technology based PID is adopted , or the...
PID controllers are widely used to control the industrial plants because of their robustness and simple structures. Tuning of the controllerpsilas parameters to get a desired response is difficult and time consuming. The main purpose of this paper is to sue wireless technology and design a Knowledge Based expert system to tune the parameters of the PID controller without using any mathematical model...
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