Nonlinear Optimal Generalized Predictive Functional Control applied to quasi-LPV model of automotive electronic throttle

Alotaibi, S. and Grimble, M. (2019) Nonlinear Optimal Generalized Predictive Functional Control applied to quasi-LPV model of automotive electronic throttle. In: 15th International Conference on Control and Automation (ICCA). IEEE, GBR, pp. 1277-1282. ISBN 9781728111643

[img]
Preview
Text (Alotaibi-Grimble-ICCA-2019-Nonlinear-Optimal-Generalized-Predictive-Functional-Control-applied-to-quasi-LPV-model)
Alotaibi_Grimble_ICCA_2019_Nonlinear_Optimal_Generalized_Predictive_Functional_Control_applied_to_quasi_LPV_model.pdf
Accepted Author Manuscript

Download (649kB)| Preview

    Abstract

    A Nonlinear Optimal Generalized Predictive Functional Control algorithm is presented for the control of quasi linear parameter varying state-space systems. A scalar automotive electronic throttle body is simulated to demonstrate typical results. The controller structure is specified in a restricted structure form including a set of pre-specified linear transfer-functions and a vector of gains that are found to minimize a GPC cost-index. This approach enables a range of classical controller structures to be used in the feedback loop such as extended PI, PID or of a more general transfer-function form. The controller is introduced along with a dynamic cost-weighting tuning future. A simulation is used to validate the performance of the restricted structure controller for regulation and tracking problems assessed against automotive performance standards.