Abstract
Model free control (MFC) represents one of possible alternatives to traditional approaches as PID control, disturbance observer based control (DOBC), internal model control (IMC), etc. As one of its central features one could mention use of finite-impulse-response (FIR) filters in input disturbance reconstruction. The paper deals with characterizing links of MFC to these approaches and discussing the terminology used and simple procedures for tuning of such controllers for the plants approximated by the first order time delayed models.
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References
Fliess, M., Join, C.: Model-free control. Int. J. Control 86(12), 2228–2252 (2013)
Åström, K.J., Hägglund, T.: Advanced PID Control. ISA, Research Triangle Park (2006)
Schrijver, E., van Dijk, J.: Disturbance observers for rigid mechanical systems: equivalence, stability, and design. ASME J. Dyn. Sys. Measur. Control 124(4), 539–548 (2002)
Morari, M., Zafiriou, E.: Robust Process Control. Prentice Hall, Englewood Cliffs (1989)
Han, J.: From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56(3), 900–906 (2009)
Gao, Z.: Active disturbance rejection control: a paradigm shift in feedback control system design. In: 2006 American Control Conference, pp. 2399–2405 (2006)
Gao, Z.: On the centrality of disturbance rejection in automatic control. ISA Trans. 53(4), 850–857 (2014)
Fliess, M.: Noise: a nonstandard analysis [analyse non standard du bruit]. C.R. Math. 342(10), 797–802 (2006)
Fliess, M., Join, C.: Intelligent PID controllers. In: Proceedings 16th Mediterrean Conference on Control and Automation, Ajaccio, France, pp. 326–331. IEEE (2008)
Fliess, M., Join, C.: Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control? IFAC Proc. Vol. (IFAC-PapersOnline) 15, 1531–1550 (2009)
Fliess, M., Join, C., Riachy, S.: Revisiting some practical issues in the implementation of model-free control. In: 18th IFAC World Congress, Milano, Italy, vol. 18, Part 1, pp. 8589–8594 (2011)
Huba, M.: Performance measures, performance limits and optimal PI control for the IPDT plant. J. Process Control 23(4), 500–515 (2013)
Huba, M., Bisták, P.: Tuning of an iP controller for a time-delayed plant by a performance portrait method. In: 25th Mediterranean Conference on Control and Automation, Valletta, Malta, 2017
Huba, M.: Analyzing limits of one type of disturbance observer based PI control by the performance portrait method. In: IEEE Mediterranean Control Conference, MED 2015, Torre Molinos, Spain (2015)
Fliess, M., Join, C.: Stability margins and model-free control: a first look. In 2014 European Control Conference (ECC), pp. 454–459, June 2014
Huba, M.: Comparing 2DOF PI and predictive disturbance observer based filtered PI control. J. Process Control 23(10), 1379–1400 (2013)
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Supported by the grants APVV-0343-12 and VEGA 1/0937/14.
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Huba, M., Huba, T. (2018). Modifications of Model Free Control to FOTD Plants. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science(), vol 10671. Springer, Cham. https://doi.org/10.1007/978-3-319-74718-7_21
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DOI: https://doi.org/10.1007/978-3-319-74718-7_21
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