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An alternative to control them is a supervisory multi-mode controller architecture that allows to meeting multiple control objectives.
Besides, an MPC controller is able to deal with multiple control objectives considering them within the cost function, which implies to determine a proper prioritization for each of the objectives.
Three individual control stages are designed to cater for the multiple control objectives in MMC without the need for any weighting factor tuning.
To handle multiple control objectives simultaneously, a library of elementary behaviors is defined; then, multiple elementary behaviors are combined, in a given priority order, into tasks (compound behaviors); to this aim the Null-Space-based Behavioral (NSB) approach has been adopted.
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Switching laws are then derived, on the basis of the stability regions, to orchestrate the transition between multiple, spatially-distributed control actuator configurations, in a way that respects actuator constraints, accommodates multiple (possibly conflicting) control objectives and guarantees closed-loop stability.
Highly performing solvents identified in the first stage are introduced into rigorous separation process design where detailed process models enable the assessment of the steady state effects of multiple and simultaneous disturbances on the control objectives within an optimized centralized control scheme.
The control objectives of robustness and good performance are achieved by using multiple robust loop shaping controllers.
The DPBD offers multiple control design layouts for various performance levels subjected to different hazard levels using multi-objective optimization approaches.
Multiple control points are introduced.
You can drop multiple control points.
Personalized control objectives.
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