Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay
Sang Hwan Son, Se-Kyu Oh, Byung Jun Park, Min Jun Song, and Jong Min, Lee

TL;DR
This paper presents a low-complexity, explicit model predictive control method for idle speed regulation in gasoline engines, effectively handling system delays and disturbances with a rigorous formulation and explicit solution.
Contribution
The paper introduces a novel explicit MPC scheme with constraint horizon for offset-free idle speed control considering system delay and limited computational capacity.
Findings
Effective ISC performance under delay and torque loss
Explicit control law derived for real-time implementation
Validated through closed-loop simulation results
Abstract
The requirement for continual improvement of idle speed control (ISC) performance is increasing due to the stringent regulation on emission and fuel economy these days. In this regard, a low-complexity offset-free explicit model predictive control (EMPC) with constraint horizon is designed to regulate the idle speed under unmeasured disturbance in presence of system delay with rigorous formulation. Particularly, we developed a high-fidelity 4-stroke gasoline-direct injected spark-ignited engine model based on first-principles and test vehicle driving data, and designed a model predictive ISC system. To handle the delay from intake to torque production, we constructed a control-oriented model with delay augmentation. To reject the influence of torque loss, we implemented the offset-free MPC scheme with disturbance model and estimator. Moreover, to deal with the limited capacity assigned…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Advanced Combustion Engine Technologies · Vehicle emissions and performance
