A novel integrated robust control synthesis methodology is presented here which combines a traditional sensitivity theory with relatively new advancements in bilinear matrix inequality (BMI) constrained optimization problems. The proposed methodology is demonstrated using a numerical example of integrated control design problem for combine harvester header linkage. The integrated design methodology presented is compared with a traditional sequential design method and the results show that the proposed methodology provides a viable alternative for robust controller synthesis and often times offers even a better performance than competing methods.
Integrated Robust Optimal Design Using Bilinear Matrix Inequality Approach Via Sensitivity Minimization
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received March 2, 2013; final manuscript received October 10, 2013; published online February 19, 2014. Assoc. Editor: Fu-Cheng Wang.
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Tulpule, P. J., and Kelkar, A. G. (February 19, 2014). "Integrated Robust Optimal Design Using Bilinear Matrix Inequality Approach Via Sensitivity Minimization." ASME. J. Dyn. Sys., Meas., Control. May 2014; 136(3): 031012. https://doi.org/10.1115/1.4026132
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