2-DOF and Fuzzy Control Extensions of Symmetrical Optimum Design Method: Applications and Perspectives

This chapter treats theoretical results concerning the Symmetrical Optimum method (SO-m), linear 2-DOF and fuzzy control extensions, perspectives and applications. The theoretical results are related to the Extended SO-m (ESO-m) and the double parameterization of the SO-m (2p-SO-m) introduced previously by the authors. Digital implementation aspects are given. The applications deal with speed and position control of rapid plants in mechatronic systems with focus on electrical drives with BLDC motors and variable moment of inertia.

[1]  Stefan Baldursson,et al.  BLDC Motor Modelling and Control - A Matlab®/Simulink® Implementation , 2005 .

[2]  Ladislav Madarász,et al.  Adaptation of Fuzzy Cognitive Maps - a Comparison Study , 2010 .

[3]  Z. Johanyák.  Student Evaluation Based On Fuzzy Rule Interpolation , 2010 .

[4]  Rolf Isermann,et al.  Mechatronic Systems: Fundamentals , 2003 .

[5]  Nikola Kasabov,et al.  Quantum-inspired Particle Swarm Optimisation for Integrated Feature and Parameter Optimisation of Evolving Spiking Neural Networks , 2011 .

[6]  Kamel Guesmi,et al.  Systematic design approach of fuzzy PID stabilizer for DC–DC converters , 2008 .

[7]  Yeung Yam,et al.  SVD-based complexity reduction to TS fuzzy models , 2002, IEEE Trans. Ind. Electron..

[8]  Milos Manic,et al.  Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data , 2011, IEEE Transactions on Industrial Electronics.

[9]  Claudia-Adina Dragos,et al.  Speed and position control of BLDC servo systems with low inertia , 2011, 2011 2nd International Conference on Cognitive Infocommunications (CogInfoCom).

[10]  Eric N. Johnson,et al.  Development of a Variable Inertia Reaction Wheel System for Spacecraft Attitude Control , 2004 .

[11]  Igor Skrjanc,et al.  Globally stable direct fuzzy model reference adaptive control , 2003, Fuzzy Sets Syst..

[12]  Jon C. Clare,et al.  A practical approach to the design of robust speed controllers for machine drives , 2000, IEEE Trans. Ind. Electron..

[13]  M. Araki,et al.  Two-Degree-of-Freedom PID Controllers , 2003 .

[14]  Q. Han,et al.  Delay-range-dependent robust stabilization for uncertain T-S fuzzy control systems with interval time-varying delays , 2011, Inf. Sci..

[15]  Igor Skrjanc,et al.  Direct fuzzy model‐reference adaptive control , 2002, Int. J. Intell. Syst..

[16]  Stefan Preitl,et al.  Cross-Optimization Aspects Concerning the Extended Symmetrical Optimum Method , 2000 .

[17]  Claudia-Adina Dragos,et al.  Extensions in Symmetrical Optimum design method. Advantages, applications and perspectives , 2011, 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI).

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

[19]  Plamen P. Angelov,et al.  Evolving classification of agents’ behaviors: a general approach , 2010, Evol. Syst..

[20]  Stefan Preitl,et al.  An extension of tuning relations after symmetrical optimum method for PI and PID controllers , 1999, Autom..

[21]  Yuanqing Xia,et al.  Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties , 2010, IEEE Transactions on Fuzzy Systems.