FOREKNOWLEDGE TYPE LEARNING CONTROL METHOD

摘要

PURPOSE:To automatically perform the optimum control of a process where a set pattern is repeated by estimating a dynamic model formula of the process with the preceding process operation by means of a sequential most-likely estimating method. CONSTITUTION:An arithmetic processing part 10 supplies the temperature within a reactor and the jacket temperature set in a preceding batch operation as the operation data of a time series. Then the temperature change caused in the reactor by the change of the jacket temperature is supposed as an ARX (self-recursive input/output) of a linear differential model and a dynamic characteristic model is estimated for the operation data after a parameter is decided by a sequential most-likely estimating method. Based on this dynamic characteristic model, a jacket temperature pattern is obtained and outputted to a PID controller 11 as the initial value of a batch operation of this time. The controller 11 performs the open/close control of the control valves 5a and 5b based on the output received from the part 10 and also gives the PID control to the difference between an output (dynamic characteristic model) and an actual fact.