Design of Property Shifts in V-Interconnected Hydraulic Systems
The task of this study consists in a parametric design applied to a MIMO hydraulic test rig subjected to dynamic demands. The aim is obtaining relevant physical metrics about the operating states of the test facility that will guarantee system potentialities for observing fundamental property shifts regarding the available V-interactions between process variables. Unlike the linearized models in deviation variables for simplification of hydraulic Non-Linear Differential Equation (NLDE), broad-range linearized system models are proposed, comprising the significant initial conditions for this system. This appears to be an all-range linearized model with state memory. The linearized representation enables extensive treatment of the process changes, so it naturally ensures the non-linear plant properties. The examined plant stability is analyzed by applying previous author’s results defining a special system symptom (V-interaction coefficient) for detecting fundamental property shifts in V-interconnected plants. After optimizing the interaction coefficient regarding plant constructive parameters and operating conditions, a set of concurrent solutions is obtained thus giving valuable insight to plant functioning and options for deriving practical design measures to pre-set goals and their fulfilment by the experimental facility.
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S. Gigi and A. Tangirala, Quantification of interaction in multiloop control systems using directed spectral decomposition, Automatica, vol. 49, no. 5, 1174–1183, 2013.
M. Mesarović, The Control of Multivariable Systems, (MIT and Wiley, 1960).
A. Niederlinski, Heuristic Approach to the Design of Linear Multi- variable Interacting Subsystems, Automatica, Vol. 7, 691-701, 1971.
R. Isermann, Digital Control Systems (Chapter V. Multivariable Control Systems, Springer-Verlag, Berlin, 1981, pp. 309-347).
R. Patel and N. Munro, Multivariable Systems Theory and Design (Pergamon Press, Oxford, 1982).
J. Rijnsdorp, Interaction in Two-variable Control Systems for Distillation Columns, I part, Automatica, Vol. 1, 15-28, 1965.
A. Tzanev, Structural Input-output Properties of Low-order MIMO Interconnected Systems, Int. Journal of Control Engineering and Technology (IJCET), American V-King Scientific Publishing LTD, Vol. 4, Issue 3, 220-242.
A. Tzanev, Fundamental Property Shifts in MIMO V-Interconnected Systems for Control and Diagnostics, Information Technologies and Control 15(3):2-6. License: CC BY-NC-ND 3.0, De Gruyter Open, September 2017.
A. Marques de Almeida, M. Lenzi and E. Lenzi, A Survey of Fractional Order Calculus Applications of Multiple-Input, Multiple-Output (MIMO) Process Control, Fractal Fract., 4, 22; doi:10.3390, 2020.
M. Hypiusová, S. Kajan and Š. Kozák, Robust MIMO Control for Interconnected DC Motors, IFAC-Papers OnLine 48-14, 402–407, 2405-8963. Elsevier Ltd., 2015.
T. Williams, P. Antsaklis, The Control Handbook, Ed. W. S. Levine (Section IX. Design Methods for MIMO LTI Systems. Chapter 50. Decoupling, pp. 795-803. CRC Press Inc. IEEE Press. L., 1996).
Zhiguo Wang, Peng Wei, Analytical Multiloop Control for Multivariable Systems with Time Delays, Complexity, vol. 2020, Article ID 8849483, 9 pages, 2020.
M. Hazewinkel, Ed. Encyclopedia of Mathematics (Springer Science+Business Media B.V. /Kluwer Academic Publishers, 2001).
A. Gattami and R. Murray, A Frequency Domain Condition for Stability of Interconnected MIMO Systems, Proc. ACC’04, Vol. 4, pp. 3723-3727. Boston, USA, 2004.
R. Dorf, R. Bishop. Modern Control Systems. 12th Ed. (Prentice Hall, N. Y. 2011).
R. Stefani, C. Savant, B. Shahian, G. Hostetter, Design of Feedback Control Systems. 3rd Ed., (Saunders College Publishing. N.Y. 1994).
B. Vanek, A. Edelmayer, Z. Szabó, J. Bokor, Bridging the gap between theory and practice in LPV fault detection for flight control actuators. Control Engineering Practice, Elsevier Ltd, 2014.
Y. Liu, S. Xu, S. Hashimoto and T. Kawaguchi, A Reference-Model-Based Neural Network Control Method for Multi-Input Multi-Output Temperature Control System, Processes, MDPI 8, 1365.
B. Roffel and B. Betlem. Process Dynamics and Control. Modeling for Control and Prediction (Wiley, Padstow, GB, 2006).
Y. Cengel, J. Cimbala. Fluid Mechanics. Fundamentals and Applications. 4th Ed. (McGraw-Hill Education, N.Y., 2018).
P. Harriot. Process Control. (McGraw Hill, N.Y., 1964).
W. Palm III. System Dynamics, 3rd Ed. (McGraw-Hill, 2014).
K. Johansson. The Quadruple-Tank Process: A Multivariable Laboratory Process with an Adjustable Zero. IEEE Trans. on Control System Technology. Vol. 8, No. 3, 456-465. 2000.
D. Shah, D. Patel, Design of sliding mode control for quadruple-tank MIMO process with time delay compensation, Journal of Process Control. Vol. 76, 46-61, 2019.
A. Aboelhassan, M. Abdelgeliel, E. Zakzouk and M. Galea, Design and Implementation of Model Predictive Control Based PID Controller for Industrial Applications, Energies, MDPI, 13, 6594.
E. Boeira, V. Bordignon, D. Eckhard et al, Comparing MIMO Process Control Methods on a Pilot Plant, J Control Autom Electr Syst. 29, 411–425, 2018, Springer.
R. Darby, R. Chhabra, Chemical Engineering Fluid Mechanics, 3rd Ed., (Taylor & Francis Group, CRC Press, Boca Raton, 2017).
F. White, Fluid Mechanics. 8th Ed., (McGraw-Hill Education, New York, 2016).
P. Albertos, A. Sala. Multivariable Control Systems: An Engineering Approach (Springer, L., 2004).
B. Kuo. Automatic Control Systems. 5th Ed. (Prentice-Hall, N. J., 1987).
Coupled Tank Control Apparatus: Operator and Service Manual. (KentRidge Instruments. Singapore. 2007).
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