Experimental Fuzzy/Split-Range Control: Novel Strategy for Biodiesel Batch Reactor Temperature Control

With respect to environmental concerns, biofuels have been used around the world, such as biodiesel, and any improvement in the biodiesel production process is desirable. This paper proposes three different control systems based on fuzzy logic and output control signal split-range. Regulating reaction temperature with low settling time and process variable oscillation are the process control aims, and smooth output control signal for actuators protection is also desired. An automated biodiesel production prototype was used and the experimental results demonstrate that a fuzzy/split-range structure with three input variables showed the best performance, resulting in process variable regulation in set-point value with small settling time and actuators premature wearing prevention.

[1]  A. M. F. Fileti,et al.  Saving energy using fuzzy control applied to a chiller: an experimental study , 2011, Clean Technologies and Environmental Policy.

[2]  A. Mason,et al.  Comparison between Adaptive and Fuzzy logic controllers for advance microwave biodiesel reactor , 2011, 2011 IEEE Symposium on Computers & Informatics.

[3]  Chieh-Li Chen,et al.  Application of fuzzy adaptive controller in nonlinear process control , 1993 .

[4]  Fernando Tadeo,et al.  Fuzzy control of a neutralization process , 2006, Eng. Appl. Artif. Intell..

[5]  Olivera S. Stamenković,et al.  Kinetics of the base-catalyzed sunflower oil ethanolysis , 2010 .

[6]  G. F. Silva,et al.  Application of response surface methodology for optimization of biodiesel production by transesterification of soybean oil with ethanol , 2011 .

[7]  Gordon H. Huang,et al.  Fuzzy logic control for a petroleum separation process , 2008, Eng. Appl. Artif. Intell..

[8]  Farouq S. Mjalli,et al.  Recursive Least Squares-Based Adaptive Control of a Biodiesel Transesterification Reactor , 2010 .

[9]  Farouq S. Mjalli,et al.  Dynamics and control of a biodiesel transesterification reactor , 2009 .

[10]  Ana Maria Frattini Fileti,et al.  A fuzzy-split range control system applied to a fermentation process. , 2013, Bioresource technology.

[11]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[12]  Urmila M. Diwekar,et al.  Optimal control of biodiesel production in a batch reactor: Part I: Deterministic control , 2012 .

[13]  Flávio Vasconcelos da Silva,et al.  Experimental investigations on fuzzy logic for process control , 2007 .

[14]  Ch. Venkateswarlu,et al.  ADAPTIVE FUZZY MODEL BASED PREDICTIVE CONTROL OF AN EXOTHERMIC BATCH CHEMICAL REACTOR* , 2001 .

[15]  İlyas Eker,et al.  Fuzzy logic control to be conventional method , 2006 .

[16]  Olivera S. Stamenković,et al.  The production of biodiesel from vegetable oils by ethanolysis: Current state and perspectives , 2011 .

[17]  Raghunathan Rengaswamy,et al.  Control loop performance assessment. 1. A qualitative approach for stiction diagnosis , 2005 .

[18]  Radu-Emil Precup,et al.  A survey on industrial applications of fuzzy control , 2011, Comput. Ind..

[19]  Du Shen-Huii,et al.  Research on regulator signal segment match to control valve in split range control system , 2011, 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet).

[20]  Teresa J. Cutright,et al.  Control of a continuous bioreactor using model predictive control , 2005 .

[21]  Robert Babuška,et al.  An overview of fuzzy modeling for control , 1996 .

[22]  D. Leung,et al.  A review on biodiesel production using catalyzed transesterification , 2010 .

[23]  S. Phoojaruenchanachai,et al.  Feedback linearization controller design for continuous stirred-tank reactor (CSTR) in biodiesel production process , 2008, 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[24]  Michimasa Kishimoto,et al.  Application of fuzzy control to industrial bioprocesses in Japan , 2002, Fuzzy Sets Syst..

[25]  Marcelo Embiruçu,et al.  Fuzzy control of a nylon polymerization semi-batch reactor , 2009, Fuzzy Sets Syst..

[26]  Urmila M. Diwekar,et al.  Optimal control of biodiesel production in a batch reactor: Part II: Stochastic control , 2012 .

[27]  Man Kee Lam,et al.  Homogeneous, heterogeneous and enzymatic catalysis for transesterification of high free fatty acid oil (waste cooking oil) to biodiesel: a review. , 2010, Biotechnology advances.

[28]  Mohd Azlan Hussain,et al.  Approximate predictive versus self-tuning adaptive control strategies of biodiesel reactors , 2009 .

[29]  G. van Schoor,et al.  Fuzzy logic controller with neural network signal predictors for complex split-range control of a hybrid actuator , 2013 .

[30]  G. Uma,et al.  Adaptive and optimal control of a non-linear process using intelligent controllers , 2009, Appl. Soft Comput..