Data-driven Robust Control for Multi-fuel Compression Ignition Engines

Designing controllers for obtaining optimal performance from a multi-fuel compression ignition engine is a challenging problem. Multiple actuators are used to achieve desired combustion phasing across various operating conditions. Traditionally, feedforward maps are used, which are built by performing experiments at different operating conditions in steady-state. In recent years, the use of data-driven models to construct FF maps has gained traction. However, performance using FF maps while moving between steady-state points and in the presence of disturbance is not guaranteed. This paper explores the design of feedback controllers for reducing the transients observed due to uncertain actuator dynamics while moving between steady-state points and in the presence of disturbance. Robust control framework was used for controller design, and simulations representing scenarios that can be seen during the engine operation were used to demonstrate the effectiveness of the developed controllers.