Abstract: A method is disclosed for developing and using a high-speed adaptive multivariable controller by removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. The resulting multivariable controller, based on final control elements as the manipulated variables is then used in a novel control adaptation with all of the PID controllers switched to manual.

Abstract: A method is disclosed for developing and using a high-speed adaptive multivariable controller by removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. The resulting multivariable controller, based on final control elements as the manipulated variables is then used in a novel control adaptation with all of the PID controllers switched to manual.

Abstract: A method is disclosed for removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. This then allows the creation of a very fast final control element based on-line operator advisor that operates in conjunction with the process so that it has access to real time data and provides an ongoing prediction of the future state of the process as well as the capability to investigate alternate scenarios of control possibilities.

Abstract: A method is disclosed for developing and using a high-speed adaptive multivariable controller by removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. The resulting multivariable controller, based on final control elements as the manipulated variables is then used in a novel control adaptation with all of the PID controllers switched to manual.

Abstract: A method is disclosed for removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. This allows creation of valve-based off-line process simulators and provides methods to generate new MPC controllers for complex multivariable process control when a change has been made in any PID control configuration or tuning and to do so without having to conduct new identification testing of the process.

Abstract: A method is disclosed for removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. This allows creation of valve-based off-line process simulators and provides methods to generate new MPC controllers for complex multivariable process control when a change has been made in any PID control configuration or tuning and to do so without having to conduct new identification testing of the process.

Abstract: A method is disclosed for removing the dynamics of the PID controllers from a Model Predictive Controller that was developed using identification testing of a process. This allows creation of valve-based off-line process simulators and provides methods to generate new MPC controllers for complex multivariable process control when a change has been made in any PID control configuration or tuning and to do so without having to conduct new identification testing of the process.

Abstract: A method of controlling a process having a plurality of independently controlled, manipulated variables and at least one controlled variable which is dependent on the manipulated variables. In the first step of the method data is gathered about the process by introducing test disturbances in the manipulated variables and measuring the effect of the disturbances on the controlled variable. The value of the controlled variable is measured at a first time. Using the data gathered from the test disturbances and the measured value of the controlled variable, a first set of changes in at least one of the manipulated variables is calculated such that the controlled variable is driven towards its set point without exceeding a predetermined limit. The manipulated variables are adjusted in accordance with at least one change from the first set of calculated changes. The values of the manipulated variables and the controlled variable are then measured at a second time.

Abstract: A method for controlling and optimizing the operation of a series of interdependent processes in a plant environment. Manipulation of one or more constrained process input variables is used to achieve feedforward/feedback control of one or more process output variables. In the synthesis of the method of controlling and optimizing, input variables are subjected to measured perturbations and the dynamic effects on the outputs are noted for prediction of the future response of the processes during on-line operation. Time variant and time invariant constraints on system operation are incorporated to allow optimum operation of the interdependent processes.

Abstract: A process for optimizing the combustion of fuel in a furnace wherein the total weight of carbon and hydrogen in the fuel is determined and from the total weight of hydrogen and carbon the air required for combustion can be computed with the air flow to the furnace being adjusted to provide the combustion air plus the desired excess oxygen. The efficiency of the furnace versus excess oxygen is determined and the excess oxygen is varied a small amount on each side of the optimum point obtained from the efficiency versus excess oxygen determination to continuously verify the optimum point.