Networked control system time-delay compensation method based on predictive control

A networked control system (NCS) time-delay compensation method based on predictive control, comprising the following steps:

• (1) acquiring random time-delay data in an NCS, and preprocessing the data;
• (2) predicting the current time-delay by using a fuzzy neural network (FNN) optimized by a particle swarm optimization (PSO) algorithm;
• (3) compensating the predicted time-delay by using an implicit proportional-integral-based generalized predictive control (PIGPC) algorithm;
• (4) determining whether a preset work end time is up according to a clock in the NCS;
• if yes, ending the process;
• if no, returning to step (2);
• wherein step (1) includes:
• collecting a group of continuous random time-delay data;
• utilizing first five time-delay values as an input sample 1 and a sixth time-delay value as an output sample 1 to form a first sample pair;
• utilizing second to sixth time-delay values as an input sample 2 and a seventh time-delay value as an output sample 2 to form a second sample pair;
• by such analogy, forming 300 sample pairs as data for training the FNN.