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This is of special interest in the Petrochemical Industry where most of the PID controllers have a fixed design criterion, either rejecting disturbances having a fixed setpoint, or following the setpoint, like in Multivariable Predictive Control applications, where the MPC controller is writing its output to the PID controllers setpoint.
This paper deals with fuzzy model based multivariable predictive control (FMMPC) for wind turbine generator.
In this paper, a new method of multivariable predictive control is presented.
The algorithm of the proposed multivariable predictive control is developed, designed, and implemented on an air-conditioned system.
It has been observed that dynamic optimization of GLP is little discussed in the recent literature since most of the papers have focused on steady state optimization and multivariable predictive control applications.
In the last decades approaches varying from decentralized PID control to multivariable predictive control have been applied to control of SAG mills with variable success; at the same time, new sensors has been developed with the aim to provide real time measurements of important variables currently unmeasured.
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The design procedure for multivariable predictive controller is summed up.
For a petrochemical distillation column, which separates chemical petrol, a multivariable predictive controller has been developed, simulated and implemented.
This paper describes the application of a widely-used commercial multivariable predictive controller to a rigorously simulated crude distillation process.
For a petrochemical distillation column, which separates chemical petrol, a multivariable predictive controller was developed, simulated and implemented.
Due to the practical importance of achieving applicable control, an adaptive-multivariable predictive-control law, where only the process output is needed and where the specific rate parameters are considered as time-varying, is proposed.
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