Experiment-Based Teaching in Advanced Control Engineering

This paper discusses an experiment-based approach to teaching an advanced control engineering syllabus involving controlled plant analysis and modeling, control structures and algorithms, real-time laboratory experiments, and their assessment. These experiments are structured around the representative case of the longitudinal slip control of an antilock braking system (ABS). The basic and advanced control strategies that are experimentally studied include the proportional-integral (PI) control, gain scheduling, iterative feedback tuning (IFT) and fuzzy control. The final grades obtained by representative groups of students demonstrate the efficiency of a described hands-on laboratory experimental study of a complex antilock braking system as encountered in practice, which allowed students to gain a better understanding of the theoretical aspects learned during the lectures.

[1]  J. Vascák,et al.  Using Neural Gas Networks in Traffic Navigation , 2009 .

[2]  Francisco Jurado,et al.  Experiences with fuzzy logic and neural networks in a control course , 2002, IEEE Trans. Educ..

[3]  J. Vascák,et al.  Fuzzy Cognitive Maps in Path Planning , 2008 .

[4]  W. Marsden.  I and J , 2012 .

[5]  Roberto Kawakami Harrop Galvão,et al.  A simple technique for identifying a linearized model for a didactic magnetic levitation system , 2003, IEEE Trans. Educ..

[6]  Álvaro Alesanco Iglesias,et al.  Web-based system for managing a telematics laboratory network , 2004, IEEE Transactions on Education.

[7]  Sergey V. Drakunov,et al.  ABS control using optimum search via sliding modes , 1995, IEEE Trans. Control. Syst. Technol..

[8]  Okyay Kaynak,et al.  An Internet-assisted experimental environment suitable for the reinforcement of undergraduate teaching of advanced control techniques , 2001, IEEE Trans. Educ..

[9]  Gregory D. Buckner,et al.  Implementing a Remote Laboratory Experience Into a Joint Engineering Degree Program: Aerodynamic Levitation of a Beach Ball , 2009, IEEE Transactions on Education.

[10]  J. R. Rowland,et al.  An instructional feedback model for improved learning and mentoring , 1995, Proceedings Frontiers in Education 1995 25th Annual Conference. Engineering Education for the 21st Century.

[11]  Karel Jezernik,et al.  Virtual Laboratory for Creative Control Design Experiments , 2008, IEEE Transactions on Education.

[12]  Kok Kiong Tan,et al.  Development of a mobile spreadsheet-based PID control simulation system , 2006, IEEE Transactions on Education.

[13]  Kouhei Ohnishi,et al.  Implementation of Bilateral Control System Based on Acceleration Control Using FPGA for Multi-DOF Haptic Endoscopic Surgery Robot , 2009, IEEE Transactions on Industrial Electronics.

[14]  Catalin Buiu.  Design and Evaluation of an Integrated Online Motion Control Training Package , 2009, IEEE Transactions on Education.

[15]  Hideki Hashimoto,et al.  Trajectory Tracking by TP Model Transformation: Case Study of a Benchmark Problem , 2007, IEEE Transactions on Industrial Electronics.

[16]  João Carlos Basilio.  A Laboratory for a First Course in Control Systems , 2002 .

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

[18]  Babu Joseph,et al.  An Internet-mediated process control laboratory , 2003 .

[19]  Antonio Ortiz,et al.  A fuzzy logic control for antilock braking system integrated in the IMMa tire test bench , 2005, IEEE Transactions on Vehicular Technology.

[20]  Imre J. Rudas,et al.  Modeling and Problem Solving Techniques for Engineers , 2004 .

[21]  Stefan Preitl,et al.  Case Studies in Teaching Fuzzy and Advanced Control Strategies , 2007 .

[22]  Costas S. Tzafestas,et al.  Virtual and remote robotic laboratory: comparative experimental evaluation , 2006, IEEE Transactions on Education.

[23]  Ching-Chih Tsai,et al.  Development of a Self-Balancing Human Transportation Vehicle for the Teaching of Feedback Control , 2009, IEEE Trans. Educ..

[24]  George Hassapis.  An interactive electronic book approach for teaching computer implementation of industrial control systems , 2003, IEEE Trans. Educ..

[25]  Frank L. Lewis,et al.  Internet-based educational control systems lab using NetMeeting , 2002, IEEE Trans. Educ..

[26]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[27]  Kevin C. Craig,et al.  Teaching control system design through mechatronics: academic and industrial perspectives , 2002 .

[28]  J Richalet,et al.  An approach to predictive control of multivariable time-delayed plant: stability and design issues. , 2004, ISA transactions.

[29]  Victor M. Becerra,et al.  Solving optimal control problems with state constraints using nonlinear programming and simulation tools , 2004, IEEE Transactions on Education.

[30]  Domenico Prattichizzo,et al.  The automatic control telelab: a user-friendly interface for distance learning , 2003, IEEE Trans. Educ..

[31]  Soohee Han,et al.  Remote Experiments for Control Education , 2008 .

[32]  K. Lewin,et al.  Field Theory in Social Science: Selected Theoretical Papers , 1951 .

[33]  C. B. Fleddermann.  Plasma etching and plasma physics experiments for the undergraduate microelectronics course , 1997 .

[34]  Keith J. Burnham,et al.  Tire slip fuzzy control of a laboratory Anti-lock Braking System , 2009, 2009 European Control Conference (ECC).

[35]  Gonzalo Farias,et al.  Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System , 2008, IEEE Transactions on Education.

[36]  Yi Zhu,et al.  Enhancing Learning Effectiveness in Digital Design Courses Through the Use of Programmable Logic Boards , 2009, IEEE Transactions on Education.

[37]  Kevin Kok Wai Wong,et al.  Fuzzy Rule Interpolation Matlab Toolbox - FRI Toolbox , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[38]  Anthony S. White,et al.  A comparison of classical, state-space and neural network control to avoid slip , 2005 .

[39]  Yoichi Hori,et al.  Direct Yaw-Moment Control of an In-Wheel-Motored Electric Vehicle Based on Body Slip Angle Fuzzy Observer , 2009, IEEE Transactions on Industrial Electronics.

[40]  K.J. Astrom,et al.  Bicycle dynamics and control: adapted bicycles for education and research , 2005, IEEE Control Systems.

[41]  Omur Aydogmus,et al.  A Web-Based Remote Access Laboratory Using SCADA , 2009, IEEE Transactions on Education.

[42]  Geir Hovland.  Evaluation of an Online Inverted Pendulum Control Experiment , 2008, IEEE Transactions on Education.

[43]  Alon Kuperman,et al.  Virtual torque and inertia loading of controlled electric drive , 2005, IEEE Transactions on Education.

[44]  Kean C. Aw,et al.  A FPGA-based rapid prototyping approach for teaching of Mechatronics Engineering , 2007 .

[45]  Zsolt Csaba Johanyák,et al.  Fuzzy Rule Interpolation Based on Polar Cuts , 2006 .

[46]  Vilma Alves de Oliveira,et al.  Robust controllers enhanced with design and implementation processes , 2006, IEEE Transactions on Education.

[47]  E.M. Petriu,et al.  Gain-Scheduling and Iterative Feedback Tuning of PI Controllers for Longitudinal Slip Control , 2008, 2008 IEEE International Conference on Computational Cybernetics.

[48]  Dong Jin Lim.  A laboratory course in real-time software for the control of dynamic systems , 2006, IEEE Transactions on Education.

[49]  Amir Poursamad,et al.  Adaptive feedback linearization control of antilock braking systems using neural networks , 2009 .

[50]  A. Valera,et al.  Virtual and remote control laboratory development , 2005, IEEE Control Systems.

[51]  K.J. Astrom,et al.  Lund control program combines theory with hands-on experience , 1992, IEEE Control Systems.

[52]  Igor Skrjanc,et al.  Identification of dynamical systems with a robust interval fuzzy model , 2005, Autom..

[53]  Alberto Leva,et al.  Multifunctional Remote Laboratory for Education in Automatic Control: The CrAutoLab Experience , 2008, IEEE Transactions on Industrial Electronics.