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ECOPACE: Estimation and control of delayed periodic systems: Application to engine optimization
Estimare si control pentru sisteme periodice cu intarzieri: Aplicatie la optimizarea motoarelor
Participants:
Zsófia Lendek,
Cosmin Marcu,
Zoltán Nagy,
Amália Mátyás
Grant of the Romanian National Authority for Scientific Research, CNCS - UEFISCDI, project number PN-III-P1-1.1-TE-2016-1265
Summary and objectives
Automotive industry is a major economic sector of the EU, and technological demand for industrially applicable solutions at low costs is growing in this area. The latest engine control approaches focus on the design of increasingly economic and less polluting cars while keeping good performance in terms of power. However, currently used algorithms require the oversimplification of existing first-principle models, by reducing the order of the model and linearizing it. Furthermore, while the actuators exist for individual per-cylinder control, control methods cannot be implemented due to the fact that relevant required variables cannot be measured. The need for algorithms that do not suffer from these limitations on model complexity and unknown variables has become critical.
ECOPACE addresses this need by proposing novel, advanced estimation and control algorithms for the cylinder-by-cylinder control of the engine. To improve performance in terms of consumption and pollution, we consider observer and controller design based on the cyclic phenomena occurring due to period cylinder motion. The algorithms will be developed in the mathematically rigorous framework of Takagi-Sugeno fuzzy systems, in which performance guarantees will be established. The main fundamental novelty will be the native ability of these algorithms to handle the nonlinear, periodic, and delayed nature of the engine system. The developed methods will be tested and validated in extensive simulations and on measured data from real engine testbenches. The expertise of the PI in nonlinear estimation and control, together with the balanced project team, ensure the feasibility of the project. Successful unknown-variable estimation and per-cylinder control will lead to better performance and high reliability of the engine, together with reduced resource consumption and costs - potentially leading to significant economic and social benefits.
The main objective of this project is to develop novel methods and algorithms for the estimation and control of delayed periodic nonlinear dynamic systems and apply them to estimation and control of IC engines. Our first goal is to develop methods for the estimation of states based on a periodic system model and available measurements. Our second goal is the development of control methods for delayed periodic systems. Our final goal is to test and validate the developed methods for internal combustion engine management.
Keywords: Takagi-Sugeno fuzzy models, periodic systems, time-delay systems, estimation and control.
Publications
The publications resulting from this research can be found here.