Elso Torralba, Jorge
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Elso Torralba
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Jorge
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Ingeniería
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ISC. Institute of Smart Cities
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Publication Open Access Frequency domain design of a series structure of robust controllers for multi-input single-output systems(Hindawi, 2018) Gil Martínez, Montserrat; Rico Azagra, Javier; Elso Torralba, Jorge; Ingeniería; IngeniaritzaThe regulation of a disturbed output can be improved when several manipulated inputs are available. A popular choice in these cases is the series control scheme, characterized by (1) a sequential intervention of loops and (2) faster loops being reset by slower loops, to keep their control action around convenient values. This paper tackles the problem from the frequency-domain perspective. First, the working frequencies for each loop are determined and closed-loop specifications are defined. Then, Quantitative Feedback Theory (QFT) bounds are computed for each loop, and a sequential loop-shaping of controllers takes place. The obtained controllers are placed in a new series architecture, which unlike the classical series architecture only requires one controller with integral action. The benefits of the method are greater as the number of control inputs grow. A continuous stirred tank reactor (CSTR) is presented as an application example.Publication Open Access Quantitative feedback control of multiple input single output systems(Hindawi, 2014) Rico Azagra, Javier; Gil Martínez, Montserrat; Elso Torralba, Jorge; Automática y Computación; Automatika eta KonputazioaThis paper presents a robust feedback control solution for systemswithmultiplemanipulated inputs and a singlemeasurable output. A structure of parallel controllers achieves robust stability and robust disturbance rejection. Each controller uses the least possible amount of feedback at each frequency. The controller design is carried out in the Quantitative Feedback Theory framework. The method pursues a smart load sharing along the frequency spectrum, where each branch must either collaborate in the control task or be inhibited at each frequency. This reduces useless fatigue and saturation risk of actuators. Different examples illustrate the ability to deal with complex control problems that current MISO methodologies cannot solve.Main control challenges arise due to the uncertainty of plant and disturbance models and when a fast-slow hierarchy of plants cannot be uniquely established.