Optimal Idle Speed Control of a Natural Aspirated Gasoline Engine Using Bio-inspired Meta- heuristic Algorithms

Email Address: nikzadfar@nit.ac.ir Optimal Idle Speed Control of a Natural Aspirated Gasoline Engine Using Bio-inspired Metaheuristic Algorithms S.Ali MirMohammadSadeghi , Kamyar Nikzadfar , Nima Bakhshinezhad 1 , Alireza Fathi 1 1 Babol Noshirvani University of Technology, Mazandaran, Iran 2 Assistant Prof. Kamyar Nikzadfar, Dept. of Mechanical Engineering, Babol Noshirvani Univ. of Technology, Shariati Ave., Babol, Mazandaran, Iran

[1]  S. Scala,et al.  Benefits of Using a Real-Time Engine Model During Engine ECU Development , 2003 .

[2]  John B. Heywood,et al.  An Improved Friction Model for Spark-Ignition Engines , 2003 .

[3]  J. K. Hedrick,et al.  Modeling and Validation of Automotive Engines for Control Algorithm Development , 1992 .

[4]  Caro Lucas,et al.  A novel numerical optimization algorithm inspired from weed colonization , 2006, Ecol. Informatics.

[5]  E. Hendricks,et al.  On the Validity of Mean Value Engine Models During Transient Operation , 2000 .

[6]  Lino Guzzella,et al.  Introduction to Modeling and Control of Internal Combustion Engine Systems , 2004 .

[7]  Seyed Ali Jazayeri,et al.  Development and Validation for Mean Value Engine Models , 2005 .

[8]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[9]  H. Bischof,et al.  A New Approach to Functional and Software Structure for Engine Management Systems - BOSCH ME7 , 1998 .

[10]  Ahmad Mozaffari,et al.  Optimal design of constraint engineering systems: application of mutable smart bee algorithm , 2012, Int. J. Bio Inspired Comput..

[11]  S. Siva Sathya,et al.  A Survey of Bio inspired Optimization Algorithms , 2012 .

[12]  Niahn-Chung Shieh,et al.  GA-Based Multiobjective PID Control for a Linear , 2003 .

[13]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[14]  A. Karimi,et al.  OPTIMAL PID CONTROLLER DESIGN FOR AVR SYSTEM USING NEW OPTIMIZATION ALGORITHM , 2013 .

[15]  Sung-Bae Cho,et al.  Application of interactive genetic algorithm to fashion design , 2000 .

[16]  John J. Moskwa,et al.  Automotive engine modeling for real time control , 1988 .

[17]  Elbert Hendricks,et al.  Modelling of the Intake Manifold Filling Dynamics , 1996 .

[18]  Nasser L. Azad,et al.  A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions , 2016, Eng. Appl. Artif. Intell..

[19]  Amir H. Shamekhi,et al.  An extended mean value model (EMVM) for control-oriented modeling of diesel engines transient performance and emissions , 2015 .

[20]  Anna G. Stefanopoulou,et al.  Control-Oriented Model of a Dual Equal Variable Cam Timing Spark Ignition Engine , 1998 .

[21]  E. Hendricks,et al.  SI Engine Controls and Mean Value Engine Modelling , 1991 .

[22]  John J. Moskwa,et al.  Automotive Engine Modeling for Real-Time Control Using MATLAB/SIMULINK , 1995 .

[23]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

[24]  Aghil Yousefi-Koma,et al.  Optimal tuning of PID controllers using Artificial Bee Colony algorithm , 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[25]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[26]  Elbert Hendricks,et al.  MODEL AND OBSERVER BASED CONTROL OF INTERNAL COMBUSTION ENGINES , 2001 .

[27]  Weixing Lin,et al.  Comparison between PSO and GA for Parameters Optimization of PID Controller , 2006, 2006 International Conference on Mechatronics and Automation.

[28]  Elbert Hendricks,et al.  Mean Value Modelling of Spark Ignition Engines , 1990 .

[29]  Zwe-Lee Gaing A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004, IEEE Transactions on Energy Conversion.

[30]  Luigi Fortuna,et al.  Evolutionary Optimization Algorithms , 2001 .

[31]  S. J. Bassi,et al.  AUTOMATIC TUNING OF PROPORTIONAL- INTEGRAL-DERIVATIVE (PID) CONTROLLER USING PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM , 2011 .

[32]  Yaodong Pan,et al.  Variable-Structure Control of Electronic Throttle Valve , 2008, IEEE Transactions on Industrial Electronics.

[33]  Aytekin Bagis,et al.  Determination of the PID Controller Parameters by Modified Genetic Algorithm for Improved Performance , 2007, J. Inf. Sci. Eng..

[34]  N. Narasimhamurthi,et al.  A Descriptive Bibliography of SI Engine Modeling and Control , 1995 .

[35]  Singiresu S. Rao Engineering Optimization : Theory and Practice , 2010 .

[36]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[37]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[38]  Gianfranco Rizzo,et al.  A Computer Code for S.I. Engine Control and Powertrain Simulation , 2000 .

[39]  Elbert Hendricks,et al.  Transient A/F Ratio Errors in Conventional SI Engine Controllers , 1993 .