Abstract
The problem of finding the arrangement of closed-loop control system poles that minimizes an objective function is considered. The system optimality criterion is the value of the H∞ norm of the frequency transfer function relative to the disturbance with constraints imposed on the system pole placement and the values of the H∞ norm of the sensitivity function and the transfer function from measurement noise to control. An optimization problem is formulated as follows: the vector of variables consists of the characteristic polynomial roots of the closed loop system with the admissible values restricted to a given pole placement region; in addition to the optimality criterion, the objective function includes penalty elements for other constraints. It is proposed to use a logarithmic scale for the moduli of the characteristic polynomial roots as elements of the vector of variables. The multi-extremality problem of the objective function is solved using the multiple start procedure. A coordinate descent modification with a pair of coordinates varied simultaneously is used for search.
REFERENCES
Polyak, B.T., Khlebnikov, M.V., and Shcherbakov, P.S., Upravlenie lineinymi sistemami pri vneshnikh vozmu-shcheniyakh: tekhnika lineinykh matrichnykh neravenstv (Control of Linear Systems Subject to Exogenous Disturbances: Linear Matrix Inequalities Technique), Moscow: LENAND, 2014.
Besekerskii, V.A. and Popov, E.P., Teoriya sistem avtomaticheskogo regulirovaniya (The Theory of Automatic Regulation Systems), Moscow: Nauka, 1966.
Aleksandrov, A.G., Stability Margins of the Systems of Optimal and Modal Control, Autom. Remote Control, 2007, vol. 68, no. 8, pp. 1296–1308.
Chestnov, V.N., Design of Controllers of Multidimensional Systems with a Given Radius of Stability Margins Based on the H ∞-Optimization Procedure, Autom. Remote Control, 1999, vol. 60, no. 7, pp. 986–993.
Astrom, K.J. and Murray, R.M., Feedback Systems: an Introduction for Scientists and Engineers, New Jersey: Princeton University Press, 2008.
Alexandrov, V.A., Chestnov, V.N., and Shatov, D.V., Stability Margins for Minimum-Phase SISO Plants: A Case Study, Proc. Eur. Control Conf., 2020, St. Petersburg, pp. 2068–2073.
Gahinet, P. and Apkarian, P., A Linear Matrix Inequality Approach to H ∞-Control, Int. J. Robust Nonlin. Control, 1994, vol. 4, no. 4, pp. 421–448.
Apkarian, P. and Noll, D., Nonsmooth H ∞ Synthesis, IEEE Trans. Autom. Control, 2006, vol. 51, no. 1, pp. 71–86.
Polyak, B.T. and Khlebnikov, M.V., Static Controller Synthesis for Peak-to-Peak Gain Minimization As an Optimization Problem, Autom. Remote Control, 2021, vol. 82, no. 9, pp. 1530–1553.
Polyak, B.T. and Khlebnikov, M.V., New Criteria for Tuning PID Controllers, Autom. Remote Control, 2022, vol. 83, no. 11, pp. 1724–1741.
Shatov, D.V., Synthesis of Parameters of Proportionally-Integral and Proportionally-Integral-Differential Controllers for Stationary Linear Objects with Nonzero Initial Conditions, J. Comput. Syst. Sci. Int., 2023, vol. 62, pp. 17–26.
Alexandrov, V.A., Pole Placement Optimization for SISO Control System, Autom. Remote Control, 2021, vol. 82, no. 6, pp. 1013-1029.
Ugray, Z., Lasdon, L., Plummer, J., Glover, F., Kelly, J., and Marti, R., Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization, INFORMS J. Computing, 2007, vol. 19, no. 3, pp. 328–340.
Astrom, K.J. and Wittenmark, B., Computer-Controlled Systems. Theory and Design, Upper Saddle River, NJ: Prentice Hall, 1984.
Gaiduk, A.R., Teoriya i metody analiticheskogo sinteza sistem avtomaticheskogo upravleniya (polinomial’nyi podkhod) (Theory and Methods for the Analytic Synthesis of Automatic Control Systems (A Polynomial Approach)), Moscow: Fizmatlit, 2012.
Alexandrov, V., Shatov, D., Abramenkov, A., and Abdulov, A., Position Control of Maneuverable Underwater Vehicle Based on Model Identification, Proc. of the 5th International Conference on Control Systems, Mathematical Modeling, Automation, and Energy Efficiency (SUMMA), 2023, Lipetsk, pp. 76–81.
Wie, B. and Bernstein, D.S., A Benchmark Problem for Robust Control Design, Proc. Amer. Control Conf., San Diego, CA, 1990, pp. 961–962.
Apkarian, P., Gahinet, P., and Buhr, C., Multi-Model, Multi-Objective Tuning of Fixed-Structure Controllers, Proc. Eur. Control Conf., 2014, Strasbourg, pp. 856–861.
Funding
The research presented in Sections 2 and 3 was supported by the Russian Science Foundation (project no. 23-29-00588, https://rscf.ru/en/project/23-29-00588/).
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This paper was recommended for publication by P.S. Shcherbakov, a member of the Editorial Board
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Alexandrov, V.A. An Optimal Choice of Characteristic Polynomial Roots for Pole Placement Control Design. Autom Remote Control 85, 411–421 (2024). https://doi.org/10.1134/S0005117924050023
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DOI: https://doi.org/10.1134/S0005117924050023