Association of a fractional order controller with an optimal model-based approach for a robust, safe and high performing control of nonlinear systems.

In order to extend the efficiency of linear fractional order controllers for nonlinear and preview systems, this paper shows how to design an optimal, robust and safe control-system. The robustness of the control-system is achieved with a linear and fractional order feedback controller that takes into account model uncertainties and frequency-domain constraints. Complementary, a nonlinear model-based optimization is used to design a nominal anticipative feedforward control and reference closed-loop trajectory. A timescale separation between the optimal feedforward and the feedback loop allows reducing the sensitivity of the obtained performance to the required computing time, improving the safety of the overall control system. The proposed approach is evaluated using the Matlab Simulink nonlinear model of the intake manifold pressure of a spark ignition (SI) internal combustion engine, in which parametric uncertainties and measurement noise are considered. [ABSTRACT FROM AUTHOR]