Abstract
A new control design procedure is presented to obtain an \(H_\infty \) loop shaping controller with guaranteed robustness properties in the presence of both nonparametric and parametric uncertainties. The method allows to describe imprecise parameters in terms of norm-bounded parametric uncertainties that are considered in addition to perturbations to normalized coprime factors of the shaped plant. In order to obtain an \(H_\infty \) controller that ensures stability and performance of the closed-loop system considering both uncertainties, a set of sufficient conditions based on LMIs is provided. Finally, the effectiveness of the design method was evaluated considering an industrial pilot plant where the proposed design procedure yields a reduction in the impact of imprecise resistance values caused, for example, by the encrusting of pipes.
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Almeida, A., & Filho, A. A. (2011). Algorithmic design for a robust control benchmark problem. In Proceedings of the 21st Brazilian congress of mechanical engineering.
Barmish, B. R., & Khargonekar, P. P. (1988). Robust stability of feedback control systems with uncertain parameters and unmodelled dynamics. In Proceedings of the American control conference (pp. 1857–1862).
Boyd, S., Ghaoui, L. E., Feron, E., & Balakrishnan, V. (1994). Linear matrix inequalities in system and control theory. SIAM Studies in Applied Mathematics.
Campos, V. A., da Cruz, J. J., & Zanetta, L. C. (2014). Robust control of dynamical systems using linear matrix inequalities and norm-bounded uncertainty. Journal of Control, Automation and Electrical Systems, 25(2), 151–160.
da Silva, D., de Paula, C. F., & Ferreira, L. (2014). A new look at the target feedback loop parameterization for \({H_\infty }\)/LTR control. Journal of Control, Automation and Electrical Systems, 25(4), 389–399.
de Moraes, A. T. (2015). Controle robusto para uma planta-piloto industrial utilizando técnica LQG/LTR. Master’s thesis, Instituto Tecnológico de Aeronáutica.
Doyle, J. C., & Glover, K. (1988). State-space formulae for all stabilizing controllers that satisfy an \({H_\infty }\)-norm bound and relations to risk sensitivity. Systems & Control Letters, 11, 167–172.
Gahinet, P. (1996). Explicit controller formulas for LMI based \({H_\infty }\) synthesis. Automatica, 32, 1007–1014.
Gahinet, P., & Apkarian, P. (1994). A linear matrix inequality approach to \({H_\infty }\) control. International Journal of Robust and Nonlinear Control, 4, 421–448.
Isidori, A., & Astolfi, A. (1992). Disturbance attenuation and \({H_\infty }\) control via mensurement feedback in nonlinear-systems. IEEE Transactions on Automatic Control, 37(9), 1283–1293.
Javadi, A., Alizadeh, G., Ghiasi, A., & Pezeshki, S. (2014). Robust control of electromagnetic levitation system. Journal of Control, Automation and Electrical Systems, 25(5), 527–536.
Lofberg, J. (2004). YALMIP: A toolbox for modeling and optimization in MATLAB. In Proceedings of 2004 IEEE intelligent symposium on computacional aided control system (pp. 284–289).
McFarlane, D., & Glover, K. (1992). A loop shaping design procedure using \({H_\infty }\) synthesis. IEEE Transactions on Automatic Control, 37(6), 759–769.
Montagner, V., Oliveira, R. F., Leite, V., & Peres, P. (2005). LMI approach for \({H_\infty }\) linear parameter-varying state feedback control. IEEE Proceedings on Control Theory and Application, 152, 195–201.
Patra, S., Sen, S., & Ray, G. (2008). Design of static \({H_\infty }\) loop shaping controller in four-block framework using LMI approach. Automatica, 44, 2214–2220.
Patra, S., Sen, S., & Ray, G. (2010). Pre-compensator selection for \({H_\infty }\) loop-shaping control. International Journal of Control, Automation and Systems, 08(1), 45–51.
Patra, S., Sen, S., & Ray, G. (2011). A linear matrix inequality approach to parametric \({H_\infty }\) loop shaping control. Journal of the Franklin Institute, 348, 1832–1846.
Patra, S., Sen, S., & Ray, G. (2012). Local stabilization of uncertain linear time-invariant plant with bounded control inputs: Parametric \({H_\infty }\) loop-shaping approach. IET Control Theory and Applications, 06(11), 1567–1576.
Pereira, R., & Kienitz, K. (2015). Design of gain-scheduled controllers based on parametric \({H_\infty }\) loop shaping. International Journal of Modelling, Identification and Control, 23, 77–84.
Pereira, R. L., & Kienitz, K. H. (2013). Design and application of gain-scheduling control for a hover: Parametric \({H_\infty }\) loop shaping approach. In: Proceedings on Asian control conference.
Prempain, E. (2006). On coprime factors for parameter-dependent systems. In: Proceedings on 45th IEEE conference on decision and control (pp. 5796–5800).
Prempain, E., & Postlethwaite, I. (2005). Static \({H_\infty }\) loop shaping control of a fly-by-wire helicopter. Automatica, 41, 1517–1528.
Prempain, E., & Postlethwaite, I. (2008). \({L_2}\) and \({H_2}\) performance analysis and gain-scheduling synthesis for parameter-dependent systems. Automatica, 44, 2081–2089.
Sideris, A., & Pena, R. S. (1988). Robustness margin calculation with dynamic and real parameter uncertainty. In Proceedings of the American control conference (pp. 1201–1206).
Skogestad, & Postlewaite, I. (2005). Multivariable feedback control: Analysis and design. New York: Wiley.
Sturm, J. (1999). Using SeDuMi1.02 a MATLAB toolbox for optimization over symmetric cones. Optimization Method Software, 11–12, 625–653.
Turner, M. C., & Bates, D. G. (2007). Mathematical methods for robust and nonlinear control. Heidelberg: Springer.
Xie, L. (1996). Output feedback \({H_\infty }\) control of systems with parameter uncertainty. International Journal of Control, 63(4), 741–750.
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The authors acknowledge support provided by CAPES (Grant 88887.092490/2015-00), CNPq (Grant 309331/2015-3) and FAPESP (Grant 2011/17610-0).
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Pereira, R.L., Kienitz, K.H. & de Moraes, A.T. \({H_\infty }\) Loop Shaping Control Under Parametric and Nonparametric Uncertainties: A Case Study. J Control Autom Electr Syst 27, 506–514 (2016). https://doi.org/10.1007/s40313-016-0262-2
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DOI: https://doi.org/10.1007/s40313-016-0262-2