Idle speed control for SI engine using triple-step nonlinear method

Idle speed control is considered as one of the most important issues in engine control. In this paper, we develop a triple-step nonlinear method to solve the idle speed control problem based on a data-physics mixed engine model. Concerning about the implementation issue, the map-related derivative items in the controller deduction are elaborately pretreated in the modeling step. Then, the controller design procedure is introduced step by step and ultimately can be divided as a steady state control, a reference dynamic based feed-forward control and a feedback control. The gains of controller are state-dependent and parameter-varying. The structure of the proposed nonlinear controller is concise and is comparable to those widely used in modern automotive control. Simulation results show the effectiveness of the designed controller.

[1]  Pyung Hun Chang,et al.  Time-varying input shaping technique applied to vibration reduction of an industrial robot , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[2]  Eduardo Sontag.  Input to State Stability: Basic Concepts and Results , 2008 .

[3]  Hong Chen,et al.  Nonlinear model predictive control for idle speed control of SI engine , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[4]  Anuradha M. Annaswamy,et al.  Spark-Ignition-Engine Idle Speed Control: An Adaptive Control Approach , 2011, IEEE Transactions on Control Systems Technology.

[5]  Kenneth R. Butts,et al.  Application of l1 optimal control to the engine idle speed control problem , 1999, IEEE Trans. Control. Syst. Technol..

[6]  Xun Gong,et al.  Idle speed controller design for SI engine based on ADRC , 2012, 2012 IEEE International Conference on Control Applications.

[7]  D. Hrovat,et al.  Survey of Advanced Suspension Developments and Related Optimal Control Applications, , 1997, Autom..

[8]  E.J.P. Rutten,et al.  Mean value modeling of spark ignition engines , 1993 .

[9]  Hong Chen,et al.  Idle speed control of an SI engine using nonlinear method , 2011, Proceedings of the 30th Chinese Control Conference.

[10]  Hyung-Soon Park,et al.  Time-varying input shaping technique applied to vibration reduction of an industrial robot , 1999, IROS.

[11]  Liu Zhilin,et al.  Study on Robust Control for Engine Idle Speed Based on Structured Singular Value Mu-Theory , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[12]  Ilya V. Kolmanovsky,et al.  Adaptive Kalman Filter-Based Load Torque Compensator for Improved SI Engine Idle Speed Control , 2009, IEEE Transactions on Control Systems Technology.

[13]  Alberto Bemporad,et al.  Model Predictive Idle Speed Control: Design, Analysis, and Experimental Evaluation , 2012, IEEE Transactions on Control Systems Technology.

[14]  Hong Chen,et al.  Triple-step method to design non-linear controller for rail pressure of gasoline direct injection engines , 2014 .

[15]  Yang Zhang,et al.  Improvement for Engine Idle-Speed Contr by Variable Structure Control , 2009 .

[16]  Qiang Gao,et al.  Reinforcement Learning for Engine Idle Speed Control , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.