The invention relates to the technical field of
sewage treatment
process control, and provides to an adaptive predictive control method for a
sewage treatment process based on integrated instant learning. The method comprises the following steps of firstly determining the controlled quantity and control quantity, and collecting historical data of the
sewage treatment process and constructing a historical
database; then constructing a query regression vector, selecting an optimal similar learning subset under different similarity indexes,
processing abnormal data, training to obtain a pluralityof groups of prediction models, and obtaining an integrated prediction model through integrated weighting; and calculating the reference trajectory, constructing an optimized control
performance index, and obtaining the
optimal control quantity; and finally, sending the
optimal control quantity to a PLC
system by a host computer to adjust a fifth zone
oxygen volume regulating valve, collecting the latest group of measurement data, and updating the historical
database. According to the adaptive predictive control method for the
sewage treatment process based on the integrated instant learningprovided by the invention, adaptive stable and accurate control can be carried out on the
sewage treatment process, the
utilization rate of off-line and on-line input / output measurement data is improved, and the influence of input and output interferences and the abnormal data on control is effectively inhibited.