Achieving diagonal dominance for TITO systems using diagonal controllers

In this study, diagonal dominance of two input two output systems are discussed by considering the standard and weighted diagonal dominance conditions separately. In addition, sufficient conditions using static diagonal controllers are derived for fixed frequencies. Derived results can be easily extended for a given frequency range. An algorithm is proposed to determine static controller gain regions. Furthermore, by using the derived results, an optimization based method is proposed to determine dynamic diagonal controllers that achieve diagonal dominance conditions for static controllers. Lastly, case studies are included to verify the effectiveness of the proposed methods.

[1]  H. Rosenbrock,et al.  State-space and multivariable theory, , 1970 .

[2]  J. M. Edmunds Input and output scaling and reordering for diagonal dominance and block diagonal dominance , 1998 .

[3]  Fernando Morilla,et al.  TUNING DECENTRALIZED PID CONTROLLERS FOR MIMO SYSTEMS WITH DECOUPLERS , 2002 .

[4]  Neil Munro,et al.  Evolutionary achievement of diagonal dominance in linear multivariable plants , 2003 .

[5]  K. C. Daly,et al.  Dominance improvement by pseudodecoupling , 1979 .

[6]  Fernando Morilla García,et al.  Tuning decentralized PID controllers for mimo systems with decouplers , 2002 .

[7]  Tongwen Chen,et al.  Diagonal dominance via eigenstructure assignment , 2006 .

[8]  Gene H. Golub,et al.  Matrix computations , 1983 .

[9]  Pradeep B. Deshpande Multivariable process control , 1989 .

[10]  N. Munro,et al.  Diagonal dominance using LMIs , 2004 .

[11]  Amin Nobakhti,et al.  On a New Method for H2-Based Decomposition , 2006, IEEE Trans. Autom. Control..

[12]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[13]  Mehmet Turan Söylemez,et al.  Determination of static diagonal controllers to achieve diagonal dominance for TITO systems at fixed frequencies , 2014, 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014).

[14]  B. Kouvaritakis,et al.  A design technique for linear multivariable feedback systems , 1977 .

[15]  W. Cai,et al.  Normalized Decoupling —A New Approach for MIMO Process Control System Design , 2008 .

[16]  D. J. Hawkins 'Pseudodiagonalisation' and the inverse-Nyquist array method , 1972 .