Experiments in Iterative Feedback tuning for level control of three-tank system

This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level control of a three-tank system laboratory equipment. First two PID controllers are designed in terms of the frequency domain approach. Next IFT is employed to improve the control system performance indices. Digital simulation results and real-time experimental results validate the new control solution.

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

[2]  João Miguel da Costa Sousa,et al.  Fault accommodation of an experimental three tank system using fuzzy predictive control , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[3]  M. Delimar,et al.  Sensorless Vector Control and Effects of Machine Parameters Mismatch in Variable Speed Wind Turbines , 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

[4]  H. Henao,et al.  Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation , 2007, 2007 IEEE Industry Applications Annual Meeting.

[5]  Jakob Kjøbsted Huusom,et al.  Data Driven Tuning of State Space Control loops with unknown state information and model uncertainty. , 2009 .

[6]  Håkan Hjalmarsson,et al.  Iterative feedback tuning of linear time-invariant MIMO systems , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[7]  H. Hjalmarsson.  Efficient tuning of linear multivariable controllers using iterative feedback tuning , 1999 .

[8]  Günhan Dündar,et al.  Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement , 2008, IEEE Transactions on Industrial Electronics.

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

[10]  Xinghuo Yu,et al.  Sliding-Mode Control With Soft Computing: A Survey , 2009, IEEE Transactions on Industrial Electronics.

[11]  S. Gunnarsson,et al.  A convergent iterative restricted complexity control design scheme , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

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

[13]  Slobodan N. Vukosavic,et al.  Parallel-Connected Multiphase Multidrive Systems With Single Inverter Supply , 2009, IEEE Transactions on Industrial Electronics.

[14]  S. Kissling,et al.  Application of iterative feedback tuning (IFT) to speed and position control of a servo drive , 2009 .

[15]  C.J. Debono,et al.  An Enhanced Centered Binary Tree of SVMs Algorithm for Phoneme Recognition , 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

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

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

[18]  Mekki Ksouri,et al.  Implementation of SISO robust predictive control to a three tanks system , 2008, 2008 IEEE International Conference on Control Applications.

[19]  Håkan Hjalmarsson,et al.  Gradient approximations in iterative feedback tuning for multivariable processes , 2004 .

[20]  S. Preitl,et al.  Design and Experiments for a Class of Fuzzy Controlled Servo Systems , 2008, IEEE/ASME Transactions on Mechatronics.

[21]  Piero Malcovati,et al.  CMOS-Based Monolithic Controllers for Smart Sensors Comprising Micromembranes and Microcantilevers , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[22]  D.J.N. Limebeer,et al.  Bicycles, motorcycles, and models , 2006, IEEE Control Systems.

[23]  R. Benayache,et al.  Nonlinear sliding mode control with backstepping approach for a nonlinear three tank system , 2008, 2008 16th Mediterranean Conference on Control and Automation.

[24]  Håkan Hjalmarsson,et al.  Iterative feedback tuning—an overview , 2002 .

[25]  Alessandro Pisano,et al.  Fault detection and reconstruction for a three-tank system via high-order sliding-mode observer , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[26]  Dario Bauso,et al.  Robust control of uncertain multi-inventory systems via linear matrix inequality , 2008 .

[27]  Ralph Kennel,et al.  Predictive control in power electronics and drives , 2008, 2008 IEEE International Symposium on Industrial Electronics.

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

[29]  S. Preitl,et al.  Development method for low cost fuzzy controlled servosystems , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[30]  K. Jezernik.  High precision VSS motion control of servo drives , 2008, 2008 10th IEEE International Workshop on Advanced Motion Control.

[31]  N. K. Poulsen,et al.  Improving Convergence of Iterative Feedback Tuning , 2009 .