Department of Informatics/ Automatic, Robotics and Mechatronics research group

Feedforward tuning rules

Feedforward control from measurable disturbances provides a possibility to make control actions before any disturbance response has occurred in the process output. This fact makes it a very powerful complement to the feedback controller. When the feedforward compensator is realizable, the effects of the load disturbance are eliminated from the process output. However, the ideal compensator is usually non-causal, and the system performance is highly affected. Thus, modifications to the classical compensator structure are required to account for this problem. This website summarizes a research line about this topic, where new and simple tuning rules for feedforward compensators have been developed. The contributions presented here are thanks to a strong collaboration with Tore Hagglund, Manuel Berenguel, Carlos Rodriguez, Antonio Visioli, Max Veronesi, and Julio Normey-Rico among other researchers.

Slides

Videos

Publications

J.L. Guzman, T. Hagglund. Simple Tuning rules for feedforward compensators. Journal of Process Control. 21(1), 92-102, 2011.
A. Pawlowski, J.L. Guzman, J.E. Normey-Rico, M. Berenguel. Improving feedforward disturbance compensation capabilities in generalized predictive control. Journal of Process Control, 22(3), 527-539, 2012.
C. Rodriiguez, J. L. Guzmaan, M. Berenguel, T. Hagglund. Generalized feedforward tuning rules for non-realizable delay inversion. Journal of Process Control, 23(9), 1241-1250, 2013.
C. Rodriguez, J. L. Guzman, M. Berenguel, T. Hagglund. Optimal feedforward compensators for systems with right-half plane zeros. Journal of Process Control, 24(4), 368-374, 2014.
C. Rodriguez, J.L. Guzman, M. Berenguel, J.E. Normey-Rico. Optimal feedforward compensators for integrating plants. 19th IFAC World Congress, Cape Town, South Africa, 2014.
J. L. Guzman, T. Hagglund, M. Veronesi, A. Visioli. Performance indices for feedforward control. Journal of Process Control, 26, 26-34, 2015.
C. Rodriguez, J.E. Normey-Rico, J. L. Guzman, M. Berenguel. On the filtered Smith predictor with feedforward compensation. Journal of Process Control, 41, 35-46, 2016.
C. Rodriguez, J.E. Normey-Rico, J. L. Guzman, M. Berenguel. Robust design methodology for simultaneous feedforward and feedback tuning. IET Control Theory & Applications, 10(1), 84-94, 2016.
A. Pawlowski, C. RodrÃguez, J. L. Guzman, M. Berenguel, S. Dormido. Measurable Disturbances Compensation: Analysis and Tuning of Feedforward Techniques for Dead-Time Processes. Processes, 4(2), 1-20, 2016.
M. Veronesi, J.L. Guzman, A. Visioli, T. Hagglund. Closed-loop tuning rules for feedforward compensator gains. 20th IFAC World Congress, Toulouse, France, 2017.
A. Hoyo, J.C. Morneo, J.L. Guzman, T. Hagglund. Robust QFT-based PID controller for a feed- forward control scheme. IFAC Conference on Advances in Proportional-Integral-Derivative Control, Ghent, Belgium, 2018.
C. Rodriguez, E. Aranda-Escolastico, J. L. Guzman, M. Berenguel and T. Hagglund. Revisiting the simplified IMC tuning rules for low-order controllers: Feedforward controller. IET Control Theory & Applications, 14(12), 1612-1618, 2020.
C. Rodriguez, E. Aranda-Escolastico, J. L. Guzman, M. Berenguel and T. Hagglund. Revisiting the simplified IMC tuning rules for low-order controllers: 2DoF feedback controller. IET Control Theory & Applications, 14(13), 1700-1710, 2020.
A.P. Montoya, F. Garcia-Manas, J. L. Guzman, and F. Rodriguez. Simple Tuning Rules for Feedforward Compensators Applied to Greenhouse Daytime Temperature Control Using Natural Ventilation. Agronomy, 10(9), 1327, 2020.
F. Garcia-Manas, J. L. Guzman, and F. Rodriguez, M. Berenguel, and T. Hagglund. Experimental evaluation of feedforward tuning rules. Control Engineering Practice, 114, 104877, 2021.
J. L. Guzman and T. Hagglund. Tuning rules for feedforward control from measurable disturbances combined with PID control: a review. International Journal of Control, 2021.
I. Pataro, J.D. Gil, M. Americano, J. L. Guzman, and M. Berenguel. A stabilizing predictive controller with implicit feedforward compensation for stable and time-delayed systems. Journal of Process Control, 115, 12-26, 2022.
I. Pataro, J. D. Gil, M. Americano, L. Roca, J. L. Guzman, M. Berenguel. Improving temperature tracking control for solar collector fields based on reference feedforward. IEEE Transactions on Control Systems Technology, 2023.
J.L. Guzman, T. Hagglund. Selecting Control Schemes and Tuning Rules in Feedforward Control. 22nd IFAC World Congress. Yokohama, Japan, 2023.
A. Hoyo, T. Hagglund, J. L. Guzman, J.C. Moreno. A practical solution to the saturation problem in feedforward control for measurable disturbances. Control Engineering Practice, 139, 105636, 2023.
I.M.L. Pataro, J.D. Gil, J. L. Guzman, J. Lemos. Analisis de rendimiento del rechazo de perturbaciones en controladores cuadraticos lineales: un metodo practico de sintonia adaptativo. Revista Iberoamericana de Automatica e Informatica Industrial, 2023
A. Hoyo, J. L. Guzman, J.C. Moreno, T. Hagglund. Double feedforward compensation for cascade control schemes. Computers and Chemical Engineering, 2023.