Time-stamped Generalized Predictive Control of Networked Control Systems with Random Delay

Abstract

The key point of the networked control systems is that conventional generalized predictive control algorithm cannot deal with random delays, packet losses and vacant sampling. In this paper, the time-stamped generalized predictive control (TSGPC) with fuzzy rectification is proposed to deal with this problem. The TSGPC use timestamped to calculate the real delay and the LMS adaptive recursive algorithm of weight coefficient are used to estimate the induced delay. In order to reduce the transmission times between the controller and the actuator, a threshold that is set in advance would be used to decide whether the control information are sent to the actuator or not. The control information is ensured optional or suboptional by using this method. The fuzzy rectification is used to control the increasing of the prediction error. The simulation results show that the TSGPC with fuzzy rectification can trace the desired output precisely.