Abstract
Abstract In this work, a model predictive controller is developed for a multiple injection combustion model. A 1D engine model with three distinct injections is used to generate data for identifying the state-space representation of the engine model. This state-space model is then used to design a controller for controlling the start of injection and injected fuel mass of the post injection. These parameters are used as inputs for the engine model to control the maximum cylinder pressure and indicated mean effective pressure.
Highlights
International emission regulations (e.g., Tier III, China II) are becoming stricter every year, which sets more challenges on combustion engines
∫1 dt = 1, τign where tSOI is the time at the start of injection (SOI) and tSOC is the time at the start of combustion (SOC)
An model predictive control (MPC) controller is developed for a multiple injection combustion model
Summary
International emission regulations (e.g., Tier III, China II) are becoming stricter every year, which sets more challenges on combustion engines In some industries, such as maritime, no replacement of combustion engines can be foreseen in the near future due to high demand of the large energy efficiency. The reason for choosing the MPC method is upon its ability to solve the optimization problem using a moving time horizon window [5], which can be considered as the working cycle of the cylinder. In this problem, the MPC is controlling the fuel injection parameters under constraints such as the maximum cylinder pressure value. The optimization problem is to maximize the cylinder pressure and the indicated mean effective pressure (IMEP) over a cycle
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