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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- Publications
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Publication Open Access Multiobjective QFT control as enabler for wind turbines with soft-soft towers(Wiley, 2025-03-06) Arellano Aguado, Jesús; Elso Torralba, Jorge; Ingeniería; IngeniaritzaWind energy tendency towards larger rotors and higher hub heights reach a limit when wind turbine pitch controller bandwidth is constrained by the first tower fore-aft bending moment. While most manufacturers try to find a workaround with alternative nonstandard tower designs, this paper presents a control solution based on quantitative feedback theory (QFT) that provides effective disturbance rejection while maintaining cost-effective conventional tower design for very high hub heights. Frequency domain specifications on measured and nonmeasured variables provide the control designer the insight to make the best use of the available feedback. The new control design procedure is applied to a realistic wind turbine example of 180-m hub height, showing the technical viability of the solution and a profitable business case.Publication Open Access Multivariable QFT control of the direction flip problem in wire arc additive manufacturing(Wiley, 2025-04-25) Masenlle, Manuel; Elso Torralba, Jorge; Ostolaza, J. Xabier; Ingeniería; Ingeniaritza; Institute of Smart Cities - ISCAdditive metal manufacturing (AM), particularly Wire Arc Additive Manufacturing (WAAM), offers a compelling alternative to traditional machining methods. While AM presents advantages such as reduced material waste and lower production costs, challenges remain in effectively controlling the process to prevent defects and optimise material deposition. This article proposes a multivariable control system for WAAM utilising Quantitative Feedback Theory (QFT) to maintain the shape of the heat-affected zone (HAZ) during transitions in direction flips during layer deposition. By modelling these direction flips as predictable disturbances, the full potential of QFT to integrate feedback and feedforward actions is exploited. The resulting multivariable control laws seek to minimise temperature variation in two critical points around the welding pool by adequately manipulating the power and speed of the heat source. A benchmark system is established to evaluate the effectiveness of the proposed control system. The results demonstrate significant improvement in temperature control, leading to enhanced layer construction quality and reduced need for height corrections or cooling pauses.