초록 ▼

A flexible multifunction model-free adaptive controller capable of controlling a very broad range of processes uses storage and selective use of multiple controller parameter sets, measurement filtering, transient prediction and use of extra controllers to dynamically set constraints for the output

A flexible multifunction model-free adaptive controller capable of controlling a very broad range of processes uses storage and selective use of multiple controller parameter sets, measurement filtering, transient prediction and use of extra controllers to dynamically set constraints for the output of the process controller in order to deal with transients resulting from sudden input changes, yet allow the process to run close to its physical limitations under dynamically varying operating conditions and periodic large processing parameter changes.

대표청구항 ▼

1. A control system for a process having a control signal input and a measured output, and having a substantially different controller parameters at different times in its operation, comprising:a) a model-free adaptive controller having an error signal input representative of the difference between

1. A control system for a process having a control signal input and a measured output, and having a substantially different controller parameters at different times in its operation, comprising:a) a model-free adaptive controller having an error signal input representative of the difference between a signal representing the output of said process and a predetermined setpoint, and having as its output a control signal which is a function of a predetermined set of controller parameters associated with said process at a given time in its operation; and b) a multifunction advisor arranged to store a plurality of sets of controller parameters associated with different times in the operation of said process; a) said multifunction advisor being so connected to said process and said controller as to change said predetermined set of controller parameters in said controller in response to operational changes in said process; d) said controller being essentially a neural network; and e) said parameters including controller gain, process time constant, process delay time, controller sign factor and neural network architecture.