State based adaptive feedback feedforward PID controller

A system for adaptively tuning a process controller, the system comprising:

• a model set component communicatively coupled to a process input, the model set component including a state variable defining a plurality of process regions, and a plurality of models grouped into the plurality of process regions, each of the grouped models includes a plurality of parameters having a value selected from a set of predetermined initial values assigned to the respective parameter;
• an error generator communicatively coupled to the model set component and a process output, the error generator configured to generate a model error signal representative of the difference between a model output signal and a process output signal;
• a model evaluation component communicatively coupled to the error generator for computing a model squared error corresponding to a model and correlating the model squared error to parameter values represented in the model;
• a parameter interpolator communicatively coupled to the model evaluation component for calculating a respective adaptive parameter value for parameters represented in the model;
• and
• a controller update component communicatively coupled to the parameter interpolator and a controller, the controller update component for updating the controller in response to adaptive parameter values upon conclusion of an adaptation cycle.

A state based adaptive feedback/feedforward controller comprising:

• a model component coupled to a process and having a plurality of process models, wherein each of the models includes by a plurality of parameters having a value selected from a set of predetermined initial values assigned to the respective parameter;
• a state variable describing the change of a process variable, the state variable defining at least one process region including a subset of the process models, the state variable corresponding to a set of region initial parameters representative of the process region;
• an error generator for generating a model error signal that represents the difference between a model component output signal and a process output signal;
• a model evaluation component for computing a model squared error corresponding to the model and for attributing the model squared error to parameter values represented in the model;
• a parameter interpolator for calculating an adaptive parameter value for at least one of the plurality of parameter values represented in the model;
• and
• a controller update component for updating a controller parameter value within the controller upon conclusion of an adaptation cycle.