Low-complexity LPV input-output identification and control of a turbocharged combustion engine

This paper presents an application of LPV input-output model identification and LPV controller synthesis to a turbocharged spark ignited combustion engine with experimental results. The complexity of identified LPV input-output models is reduced using parameter-set mapping in combination with nonlinear optimization. A model-structure suitable for a direct transformation to a polytopic LPV state-space model is used to allow polytopic LPV controller synthesis with a parameter varying Lyapunov matrix. The resulting feedback controller is implemented in the electronic control unit of a test car. Its performance is compared to an existing heuristically tuned nonlinear controller in closed-loop experiments on a test road in first gear.