Reconstruction of cylinder pressure using crankshaft speed fluctuations

In this work a Recurrent Neural Network (RNN) is proposed for cylinder pressure reconstruction using crankshaft speed fluctuations. It is shown that single RNN is not capable of reconstructing pressure for complete operating domain of engine distributed over load torque and engine speed. The capability of RNN to estimate cylinder pressure with varying speed and load is enhanced by applying the interpolation on weight parameters. For, this a separate RNN is trained for each specific load and speed of the engine and the weights of RNN are mapped over operating domain of engine. The model is validated on a test rig consisting of single-cylinder engine coupled with eddy current dynamometer. It is shown that the method has potential to estimate cylinder pressure estimation which can be used for future engine controls and diagnostic purpose.

[1]  Samir Saraswati,et al.  Cycle-by-cycle estimation of cylinder pressure and indicated torque waveform using crankshaft speed fluctuations , 2015 .

[2]  Satish Chand,et al.  Neural networks and fuzzy logic-based spark advance control of SI engines , 2011, Expert Syst. Appl..

[3]  Rolf Isermann,et al.  Methods for engine supervision and control based on cylinder pressure information , 1999 .

[4]  John J. Moskwa,et al.  Application of nonlinear sliding-mode observers for cylinder pressure reconstruction , 1996 .

[5]  Jeffrey Naber,et al.  Application of FRF with SISO and MISO model for accelerometer-based in-cylinder pressure reconstruction on a 9-L diesel engine , 2015 .

[6]  Andrew Ball,et al.  A RBF neural network model for cylinder pressure reconstruction in internal combustion engines , 1996 .

[7]  Ibrahim Haskara,et al.  Real-time cylinder pressure and indicated torque estimation via second order sliding modes , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[8]  Roger Johnsson,et al.  Cylinder pressure reconstruction based on complex radial basis function networks from vibration and speed signals , 2006 .

[9]  J. D. Powell,et al.  Closed loop, knock adaptive spark timing control based on cylinder pressure , 1978 .

[10]  John J. Moskwa,et al.  Cylinder pressure and combustion heat release estimation for SI engine diagnostics using nonlinear sliding observers , 1995, IEEE Trans. Control. Syst. Technol..

[11]  I. Andersson,et al.  Torque ratio concept for combustion phasing detection of a spark ignited engine , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[12]  Tomas McKelvey,et al.  Instantaneous Crankshaft Torque Measurements - Modeling and Validation , 2003 .

[13]  Yoshihisa Kawamura,et al.  MBT Control through Individual Cylinder Pressure Detection , 1988 .

[14]  J. E. Morris,et al.  Improved Intra-Cylinder Combustion Pressure Sensor , 1985 .

[15]  John J. Moskwa,et al.  Nonlinear Diesel Engine Control and Cylinder Pressure Observation , 1995 .

[16]  J. Molinar-Monterrubio,et al.  Sliding Mode Observer for Internal Combustion Engine Misfire Detection. , 2007, Electronics, Robotics and Automotive Mechanics Conference (CERMA 2007).

[17]  J. D. Powell,et al.  Closed Loop Control of Spark Advance Using a Cylinder Pressure Sensor , 1976 .

[18]  Stephen J. Citron,et al.  Cylinder-by-cylinder engine pressure and pressure torque waveform determination utilizing crankshaft speed fluctuations , 1989 .

[19]  Mohamed Ayeb,et al.  A Neural Estimator for Cylinder Pressure and Engine Torque , 1999 .

[20]  W. Stuart Neill,et al.  Determination of Engine Cylinder Pressures from Crankshaft Speed Fluctuations , 1992 .

[21]  K. Reichard,et al.  Diagnostic fault detection for internal combustion engines via pressure curve reconstruction , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).

[22]  Myoungho Sunwoo,et al.  Closed-Loop Control of Spark Advance and Air-Fuel Ratio in SI Engines Using Cylinder Pressure , 2000 .

[23]  Satish Chand,et al.  Reconstruction of cylinder pressure for SI engine using recurrent neural network , 2010, Neural Computing and Applications.

[24]  Pipitone Emiliano,et al.  Spark Ignition Feedback Control by Means of Combustion Phase Indicators on Steady and Transient Operation , 2014 .

[25]  Feilong Liu,et al.  An Experimental Study on Engine Dynamics Model Based In-Cylinder Pressure Estimation , 2012 .

[26]  J. David Powell,et al.  Engine control using cylinder pressure : past, present, and future , 1993 .

[27]  Giorgio Rizzoni,et al.  Fast Algorithm for On-Board Torque Estimation , 1999 .

[28]  Uwe Kiencke,et al.  Automotive Control Systems , 2005 .