Design of an SI Engine Cold Start Controller based on Dynamic Coupling Analysis
Mohammad Reza Amini, Mahdi Shahbakhti

TL;DR
This paper develops a decentralized control approach for a spark ignition engine during cold start, using RGA analysis to handle nonlinear dynamics and adaptive sliding mode controllers to minimize emissions.
Contribution
It introduces a novel combination of RGA analysis and adaptive sliding mode control for nonlinear engine dynamics during cold start.
Findings
Decentralized control maintains performance despite internal coupling.
Adaptive DSMC effectively tracks desired engine states.
Engine emissions are reduced to meet HC limits.
Abstract
In this paper, the dynamic couplings among different inputs and outputs of a highly nonlinear spark ignition (SI) engine control problem during the cold start phase are evaluated by using relative gain array (RGA) technique. First, based on the experimental data, a multi-input multi-output model is developed to represent the engine dynamics. Second, the coupling among different inputs and outputs of the model is evaluated by using RGA technique in both open-loop and closed-loop structures. The results show that although there is an internal coupling within the engine dynamics in the open-loop framework, the closed-loop engine controller can be designed using a decentralized structure without significantly affecting the system performance. In the next step, based on a nonlinear physics-based model of the engine, a set of single-input single-output (SISO) adaptive second order discrete…
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Taxonomy
TopicsAdvanced Combustion Engine Technologies · Real-time simulation and control systems · Hydraulic and Pneumatic Systems
