HYBRID PREDICTOR, HYBRID PREDICTION METHOD, AND SYSTEM FOR AND METHOD OF CONTROLLING PROCESSES USING THE HYBRID PREDICTOR AND HYBRID PREDICTION METHOD

摘要

A HYBRID PREDICTOR (100A) FOR PREDICTING THE OUTPUT OF A PROCESS (400), AND A HYBRID PREDICTION METHOD USING THE HYBRID PREDICTOR. ALSO, A SYSTEM FOR AND A METHOD OF CONTROLLING A PROCESS USING THE HYBRID PREDICTOR AND HYBRID PREDICTION METHOD ARE PROVIDED. IN ORDER TO OBTAIN A SHIFTED PREDICTION VECTOR (140A) AND STEP RESPONSE COEFFICIENTS, THE HYBRID PREDICTOR USES A PARAMETER MODEL (1 1 0) WHICH CAN BE UPDATED IN ACCORDANCE WITH A VARIATION IN THE PROCESS. THE CONTROL METHOD INCLUDES THE STEPS OF PREDICTING PROCESS OUTPUT SIGNALS GENERATED IN A PREDICTION HORIZON, BASED ON INPUT SIGNALS APPLIED TO THE PROCESS, CORRECTING THE PREDICTED VALUES, BASED ON OUTPUT SIGNAL VALUES MEASURED AT THE NEXT SCAN, COMPARING THE CORRECTED PREDICTION VALUE WITH A REFERENCE VALUE (200) TO DERIVE AN ERROR VECTOR, CALCULATING A CONTROL SIGNAL TO MINIMIZE THE ERROR VECTOR, AND APPLYING THE CONTROL SIGNAL TO THE PROCESS. THE HYBRID PREDICTOR (100A) IS CHARACTERIZED BY AN ADDITION OF A MODEL PARAMETER ESTIMATOR (110) AND A MODEL RESPONSE CONVERTER (120). IN THIS HYBRID PREDICTOR, A PREDICTION VECTOR, WHICH IS INDICATIVE OF THE LENGTH OF A PREDICTION HORIZON, IS DIRECTLY CALCULATED. ACCORDINGLY, IT IS POSSIBLE TO REDUCE A REQUIRED MEMORY CAPACITY WHILE UPDATING MODEL RESPONSE COEFFICIENTS IN ACCORDANCE WITH A VARIATION IN THE PROCESS BY THE MODEL PARAMETER ESTIMATOR (1 10). THUS, AN ADAPTIVE PREDICTION CAN BE ACHIEVED. (FIG. 3)