Adaptive Air-Fuel Ratio Regulation for Port-Injected Spark-Ignited Engines Based on a Generalized Predictive Control Method

Abstract

The accurate air-fuel ratio (AFR) control is crucial for the exhaust emission reduction based on the three-way catalytic converter in the spark ignition (SI) engine. The difficulties in transient cylinder air mass flow measurement, the existing fuel mass wall-wetting phenomenon, and the unfixed AFR path dynamic variations make the design of the AFR controller a challenging task. In this paper, an adaptive AFR regulation controller is designed using the feedforward and feedback control scheme based on the dynamical modelling of the AFR path. The generalized predictive control method is proposed to solve the problems of inherent nonlinearities, time delays, parameter variations, and uncertainties in the AFR closed loop. The simulation analysis is investigated for the effectiveness of noise suppression, online prediction, and self-correction on the SI engine system. Moreover, the experimental verification shows an acceptable performance of the designed controller and the potential usage of the generalized predictive control in AFR regulation application.

Distributed Control Strategy with Smith's Predictor in a Pilot‐Scale Diabatic Distillation Unit

“…Aiming at efficient design and tuning distillation controllers, studies based on advanced techniques have been the focus of several works in the last decades. Karacan, Hapoglu, and Alpbaz [10] and Meng et al [11] used generalized predictive control; Karacan [12] applied nonlinear long-range predictive control; Rani, Singh, and Gupta [13] and Ahmed and Khalaf [14] implemented artificial intelligence through neural networks; and Miccio and Cosenza [15] did studies with fuzzy logic algorithms. All these studies were successful in reducing transient time; however, its reduction to zero is impossible, since the action of the reboiler must be propagated up to the last stage of the column, and the same occurs inversely with the action of reflux flow rate until the bottom of the column.…”

Intake Air Mass Observer Design Based on Extended Kalman Filter for Air-Fuel Ratio Control on SI Engine

“…It is a challenging work to handle the control problems of parameter uncertainties and variations, the time-delay and nonlinearities, the large modeling uncertainties and unknown dynamics, and the wide operating range and complex working conditions. The adaptive AFR controller was introduced to overcome the control problems that are mentioned above [17]. From the definition in Equation (4), the in-cylinder air mass estimation is a crucial part for the fuel injection calculation and it affects the AFR control results.…”

“…The engine ECU was implemented on a Freescale MC9S12XDP512 based controller. An ATI Vision based calibration system was established to acquire the control parameter online updating and internal data logging [17]. effectiveness of the illustrated intake air mass observer and the prediction results of cylinder intake flow.…”

Lean-burn air-fuel ratio control using genetic algorithm-based PI controller

“…The work in [5] proposes an adaptive stoichiometric AFR control. A generalized predictive control is proposed for the AFR regulation by taking time delays, nonlinearities, and parameter variations into account in the closed-loop in [6]. The work [7] addresses an experimental AFR control with the unknown system dynamics estimator.…”