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Since the simulator is available to other university researchers, it can serve as a challenge problem for multivariable control and identification.
This simulation control project provides a realistic platform for applying various control strategies such as feedback control, ratio and/or cascade control, feedforward control, decoupling multivariable control, and centralized multivariable MPC.
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The ability of this strategy to provide an improved approach to detecting changes in multivariable control performance and identifying the potential improvements that are possible through re-tuning the controller are illustrated using simulated and industrial data.
The error budget for the stage, as well as multivariable control law design and stability analysis, and metrology results are discussed in the paper.
To overcome this limitation, a Genetic Algorithm based AFLC (Adaptive Fuzzy Logic Controller design has been proposed for the multivariable control of temperature and humidity of a typical AHU (air handling unit by manipulating valve positions to adjust the water and steam flow rates.
These developments include applications within adaptive control, multivariable control, portfolio balancing control and load planning systems.
The framework is intended for testing robust multivariable control design methods and nonlinear state-estimation algorithms.
The validity of the proposed multivariable control system design and tuning method is confirmed using a test batch consisting of Two-Input Two-Output (TITO) stable, integrating and unstable processes, and one Three-Input Three-Output (TITO) stable process.
The monitoring uses formulas that take into account feed flow rates, targets calculated by the optimization layer of multivariable control, controlled variables upper and lower limits and other parameters.
And then multivariable control schemes are designed, the controllability of SRC process based on the optimal steady-state integrated structure is explored.
Control system design approaches including single-input single-output and multivariable control are considered.
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