Tuning rules for feedforward control from measurable disturbances combined with PID control: a review

References

• Adam, E., & Marchetti, J. (2004). Designing and tuning robust feedforward controllers. Computers & Chemical Engineering, 28(9), 1899–1911. https://doi.org/10.1016/j.compchemeng.2004.03.005
   Web of Science ®Google Scholar
• Brosilow, C., & Joseph, B. (2002). Techniques of model-based control. Prentice-Hall.
   Google Scholar
• Coughanowr, D. R. (1991). Process systems, analysis and control. McGraw-Hill.
   Google Scholar
• García-Mañas, F., Guzmán, J. L., Rodríguez, F., Berenguel, M., & Hägglund, T. (2021). Experimental evaluation of feedforward tuning rules. Control Engineering Practice, 114(1), 104877. https://doi.org/10.1016/j.conengprac.2021.104877
   Web of Science ®Google Scholar
• Guzmán, J. L., & Hägglund, T. (2011). Simple tuning rules for feedforward compensators. Journal of Process Control, 21(1), 92–102. https://doi.org/10.1016/j.jprocont.2010.10.007
   Web of Science ®Google Scholar
• Guzmán, J. L., Hägglund, T., Veronesi, M., & Visioli, A. (2015). Performance indices for feedforward control. Journal of Process Control, 26(7), 26–34. https://doi.org/10.1016/j.jprocont.2014.12.004
   Web of Science ®Google Scholar
• Guzmán, J. L., Hägglund, T., & Visioli, A. (2012). Feedforward compensation for pid control loops. In R. Vilanova & A. Visioli (Eds.), PID control in the third millennium. Advances in industrial control. Springer.
   Google Scholar
• Hast, M., & Hägglund, T. (2014). Low-order feedforward controllers: Optimal performance and practical considerations. Journal of Process Control, 24(9), 1462–1471. https://doi.org/10.1016/j.jprocont.2014.06.016
   Web of Science ®Google Scholar
• Hoyo, A., Moreno, J. C., Guzmán, J. L., & Hägglund, T. (2018). Robust QFT-based PI controller for a feedforward control scheme. IFAC-PapersOnLine, 51(4), 262–267. 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control PID 2018.
   Google Scholar
• Isaksson, A., Molander, M., Modén, P., Matsko, T., & Starr, K. (2008). Low-order feedforward design optimizing the closed-loop response. Control Systems. Vancouver, Canada. Preprints.
   Google Scholar
• Liu, L., Tian, S., Xue, D., Zhang, T., & Chen, Y. (2019). Industrial feedforward control technology: A review. Journal of Intelligent Manufacturing, 30(8), 2819–2833. https://doi.org/10.1007/s10845-018-1399-6
   Web of Science ®Google Scholar
• Montoya-Ríos, A. P., García-Mañas, F., Guzmán, J. L., & Rodríguez, F. (2020). Simple tuning rules for feedforward compensators applied to greenhouse daytime temperature control using natural ventilation. Agronomy, 10(9), 1327. https://doi.org/10.3390/agronomy10091327
   Web of Science ®Google Scholar
• Nisenfeld, A., & Miyasak, R. (1973). Applications of feedforward control to distillation columns. Automatica, 9(3), 319–327. https://doi.org/10.1016/0005-1098(73)90056-3
   Web of Science ®Google Scholar
• Rodríguez, C., Aranda-Escolástico, E., Guzmán, J. L., Berenguel, M., & Hägglund, T. (2020). Revisiting the simplified IMC tuning rules for low-order controllers. Part II: Feedforward controller. IET Control Theory & Applications, 14(12), 1612–1618. https://doi.org/10.1049/iet-cta.2019.0823
   Web of Science ®Google Scholar
• Rodríguez, C., Guzmán, J. L., Berenguel, M., & Hägglund, T. (2013). Generalized feedforward tuning rules for non-realizable delay inversion. Journal of Process Control, 23(9), 1241–1250. https://doi.org/10.1016/j.jprocont.2013.08.001
   Web of Science ®Google Scholar
• Rodríguez, C., Guzmán, J. L., Berenguel, M., & Hägglund, T. (2014). Optimal feedforward compensators for systems with right-half plane zeros. Journal of Process Control, 24(4), 368–374. https://doi.org/10.1016/j.jprocont.2014.02.014
   Web of Science ®Google Scholar
• Rodríguez, C., Guzmán, J. L., Berenguel, M., & Normey-Rico, J. E. (2014). Optimal feedforward compensators for integrating plants. IFAC Proceedings Volumes, 47(3), 170–175. 19th IFAC World Congress.
   Google Scholar
• Rodríguez, C., J. E. Normey-Rico, Guzmán, J. L., & Berenguel, M. (2016a). On the filtered Smith predictor with feedforward compensation. Journal of Process Control, 41(1), 35–46. https://doi.org/10.1016/j.jprocont.2016.02.005
   Web of Science ®Google Scholar
• Rodríguez, C., Normey-Rico, J. E., Guzmán, J. L., & Berenguel, M. (2016b). Robust design methodology for simultaneous feedforward and feedback tuning. IET Control Theory & Applications, 10(1), 84–94. https://doi.org/10.1049/cth2.v10.1
   Web of Science ®Google Scholar
• Seborg, D., Edgar, T., & Mellichamp, D. (1989). Process dynamics and control. Wiley.
   Google Scholar
• Shinskey, F. G. (1963). Feedforward control applied. ISA J. November 61–65.
   Google Scholar
• Shinskey, F. G. (1967). Process control systems. Application, design, adjustment (1st ed.). McGraw-Hill.
   Google Scholar
• Shinskey, F. G. (1996). Process control systems. Application, design, and tuning (4th ed.). McGraw-Hill.
   Google Scholar
• Veronesi, M., Guzmán, J. L., Visioli, A., & Hägglund, T. (2017). Closed-loop tuning rules for feedforward compensator gains. IFAC-PapersOnLine, 50(1), 7523–7528. https://doi.org/10.1016/j.ifacol.2017.08.1186
   Google Scholar
• Vilanova, R., Arrieta, O., & Ponsa, P. (2009). IMC based feedforward controller framework for disturbance attenuation on uncertain systems. ISA Transactions, 48(4), 439–448. https://doi.org/10.1016/j.isatra.2009.05.007
   PubMed Web of Science ®Google Scholar