Generalized predictive control with actuator deadband for event-based approaches

IEEE Transactions on Industrial Informatics

Volumn 10, Issue 1, 2014, Pages 523-537

  Pawlowski, Andrzej ^a   Cervin, Anton ^b   Guzman, Jose Luis ^a   Berenguel, Manuel ^a  

^a UNIVERSITY OF ALMERÍA   (Spain)

^b LUND UNIVERSITY   (Sweden)

Author keywords

Event based control; generalized predictive control; hybrid systems; model predictive control; sporadic control

Indexed keywords

HYBRID SYSTEMS; INTEGER PROGRAMMING; MECHANICAL ACTUATORS; MODEL PREDICTIVE CONTROL;

CONTROL PERFORMANCE; CONTROLLED PROCESS; ELECTROMECHANICAL SYSTEMS; EVENT-BASED CONTROL; GENERALIZED PREDICTIVE CONTROL; HYBRID SYSTEM FRAMEWORK; MIXED INTEGER QUADRATIC PROGRAMMING; OPTIMIZATION PROCEDURES;

PREDICTIVE CONTROL SYSTEMS;

EID: 84896989972     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2013.2270570     Document Type: Article

References (35)

1. K. E. Årzén, A simple event-based PID controller presented at the 14th IFAC World Congr., Beijing, China, 1999.
2. K. J. Åström and B. M. Bernhardsson, Comparison of riemann and lebesgue sampling for first order stochastic systems presented at the 41st IEEE Conf. Decision Control, Las Vegas, NV, USA, 2002.
3. A. Cuenca, J. Salt, A. Sala, and R. Pizá, A delay-dependent dual-rate PID controller over an Ethernet network IEEE Trans. Ind. Informat., vol. 7, no. 1, pp. 18-29, 2011.
4. J. Ploennigs, V. Vasyutynskyy, and K. Kabitzsch, Comparative study of energy-efficient sampling approaches for wireless control networks IEEE Trans. Ind. Informat., vol. 6, no. 3, pp. 416-424, 2010.
5. A. Pawlowski, J. L.Guzmán, F. Rodríguez,M. Berenguel, J. Sánchez, and S. Dormido, The influence of event-based sampling techniques on data transmission and control performance presented at the 14th IEEE Int. Conf. Emerg. Technol. Factory Autom., Mallorca, Spain, 2009.
6. A. Bemporad, S. Di Cairano, and J. Júlvez, Event-based model predictive control and verification of integral continuous hybrid automata in Hybrid Systems: Computation and Control, ser. Lecture Notes in Computer Science, J. Hespanha and A. Tiwari, Eds. New York, NY, USA: Springer-Verlag, 2006.
7. W. Hu, G. Liu, and D. Rees, Event-driven networked predictive control IEEE Trans. Ind. Electron., vol. 54, no. 3, pp. 1603-1613, 2007.
8. M. Srinivasarao, S. C. Patwardhan, and R. D. Gudi, Nonlinear predictive control of irregularly sampled multirate systems using blackbox observers J. Process Control, vol. 17, no. 1, pp. 17-35, 2007. (Pubitemid 44872941)
9. G. Liu, Y. Xia, J. Chen, D. Rees, and W. Hu, Networked predictive control of systems with random network delays in both forward and feedback channels IEEE Trans. Ind. Electron., vol. 54, no. 3, pp. 1603-1613, 2007.
10. D. E. Quevedo, J. ∅stergaard, and D. Neši, Packetized predictive control of stochastic systems over bit-rate limited channels with packet loss IEEE Trans. Autom. Control, vol. 56, no. 12, pp. 2855-2868, 2011.
11. J. Jugo and M. Eguiraun, Experimental implementation of a networked input-output sporadic control system presented at the Proc. IEEE Int. Conf. Control Appl., Yokohama, Japan, 2010.
12. A. Ulusoy, O. Gurbuz, and A. Onat, Wireless model-based predictive networked control system over cooperative wireless network IEEE Trans. Ind. Informat., vol. 7, no. 1, pp. 41-51, 2011.
13. M. Epstein, L. Shi, S. Di Cairano, and R. M. Murray, Control over a network: Using actuation buffers to reduce transmission frequency presented at the Eur. Control Conf., Kos, Greece, 2007.
14. T. Henningsson, E. Johannesson, andA.Cervin, Sporadic event-based control of first-order linear stochastic systems Automatica, vol. 44, no. 11, pp. 2890-2895, 2008.
15. Y. B. Zhao, J. Kim, and G. P. Liu, Error bounded sensing for packetbased networked control systems IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1980-1989, 2011.
16. G. Guo, Linear systems with medium-access constraint and Markow actuator assignment IEEE Trans. Circuits Syst., vol. 57, no. 11, pp. 2999-3010, 2010.
17. Z. Yao, Y. Sun, and N. H. El-Farra, Resource-aware scheduled control of distributed process systems over wireless sensor network presented at the Amer. Control Conf., Baltimore, MD, USA, 2010.
18. M. Nagahara and D. E. Quevedo, Spare representation for packetized predictive networked control presented at the 18th IFAC World Congr., Milano, Italy, 2011.
19. H. Zabiri and Y. Samyudia, A hybrid formulation and desing of model predictive control for system under actuator saturation and backlash J. Process Control, vol. 16, no. 7, pp. 693-709, 2006.
20. S. W. Su, H. Nguyen, and R. Jarman, Model predictive control of gantry crane with input nonlinearity compensation Int. J. Aerosp. Mech. Eng., vol. 4, no. 1, pp. 34-38, 2010.
21. Y. B. Zhao, G. P. Liu, and D. Rees, Packet-based deadband control for internet-based networked control systems IEEE Trans. Control Syst. Technol., vol. 18, no. 5, pp. 1057-1067, 2010.
22. E. F. Camacho and C. Bordóns, Model Predictive Control. London, U.K.: Springer-Verlag, 2007.
23. J. L. Guzmán, M. Berenguel, and S. Dormido, Interactive teaching of constrained generalized predictive control IEEE Control Syst. Mag., vol. 25, no. 2, pp. 52-66, 2005. (Pubitemid 40583699)
24. A. Bemporad and M. Morari, Control of systems integrating logic, dynamics, and constraints Automatica, vol. 35, pp. 407-427, 1999.
25. D. Henriksson, A. Cervin, and K. E. Årzén, TrueTime: Simulation of control loops under shared computer resources presented at the 15th IFAC World Congr., Barcelona, Spain, 2002.
26. A. Cervin, D. Henriksson, and M. Ohlin, TrueTime 2.0 beta 5 - ReferenceManual Automatic Control Dept., Lund Univ., Lund, Sweden, 2010.
27. K. J. Åström and T. Hägglund, Advanced PID Control. Durham, NC, USA: Instrum. Syst. and Autom. Soc., 2006.
28. D. Henriksson, A. Cervin, J. Åkesson, and K. E. Årzén, On dynamic real-time scheduling of model predictive controllers presented at the 141st IEEE Conf. Decision Control, Las Vegas, NV, USA, 2002.
29. M. M. Ben Gaid and A. Çela, Trading quantization precision for update rates for systems with limited communication in the uplink channel Automatica, vol. 46, pp. 1210-1214, 2010.
30. M. Beschi, S. Dormido, J. Sánchez, and A. Visioli, Characterization of symmetric send-on-delta PI controllers J. Process Control, vol. 22, no. 10, pp. 1930-1945, 2012.
31. J. L. Garriga and M. Soroush, Model predictive control tuning methods: A review Ind. Eng. Chem. Res., vol. 49, no. 8, pp. 3505-3515, 2010.
32. J. A. Rossiter, Model-based predictive control in A Practical Approach. Boca Raton, FL, USA: CRC Press, 2003.
33. A. Cervin and K. J. Åström, On limit cycles in event-based control system presented at the 46th Conf. Decision Control, New Orleans, LA, USA, 2007.
34. R. Lu,Y.Xu, A. Xue, and J. Zheng, Networked controlwith state reset and quantized measurements: Observer-based case IEEE Trans. Ind. Electron., vol. 60, no. 1, pp. 5206-5213, 2013.
35. T. Chai, L. Zhao, J. Qiu, F. Liu, and J. Fan, Integrated network-based model predictive control for setpoints compensation in industrial processes IEEE Trans. Ind. Informat., vol. 9, no. 1, pp. 417-426, 2012.