Abstract
We propose a new approach to the problem of tuning and optimizing the parameters of a PID controller based on reducing the problem to an optimization problem. In this case, the performance of the controller is evaluated by a quadratic criterion of the system output: the PID controller is tuned against the uncertainty in the initial conditions so that the system output is uniformly small; in this case, a given degree of stability of the closed-loop system is additionally guaranteed. A gradient method for finding the PID controller parameters is given. Numerous examples show that the recurrent procedure proposed is very efficient and leads to PID controllers that are quite satisfactory in terms of engineering performance indices. The article continues a series of papers by the present authors devoted to synthesizing feedback in control problems from the standpoint of optimization.
REFERENCES
Ziegler, J.B. and Nichols, N.B., Optimum settings for automatic controllers, Trans. ASME, 1942, vol. 64, pp. 759–768.
Visioli, A., Practical PID Control, London: Springer-Verlag, 2006.
˚Aström, K.J. and Hägglund, T., PID Controllers: Theory, Design, and Tuning, Research Triangle Park: Instrum. Soc. Am., 1995.
˚Aström, K.J. and Hägglund, T., Advanced PID Control, Research Triangle Park: Instrum. Syst. Autom. Soc., 2006.
Bhattacharyya, S.P. and Keel, L.H., Linear Multivariable Control Systems, Cambridge: Cambridge Univ. Press, 2022.
Wang, Q.-G., Ye, Z., Cai, W.-J., and Hang, C.-C., PID Control for Multivariable Processes, Berlin: Springer, 2008.
Blanchini, F., Lepschy, A., Miani, S., and Viaro, U., Characterization of PID and lead/lag compensators satisfying given \(H_\infty \) specifications, IEEE Trans. Autom. Control, 2004, vol. 49, no. 5, pp. 736–740.
Han, S., Keel, L.H., and Bhattacharyya, S.P., PID controller design with an \(H^\infty \) criterion, IFAC-PapersOnLine, 2018, vol. 51, no. 4, pp. 400–405.
Kiselev, O.N. and Polyak, B.T., Design of low-order controllers by the \(H^\infty \)-criterion and maximum-robustness performance indices, Autom. Remote Control, 1999, vol. 60, no. 3, pp. 393–402.
Gryazina, E.N., Polyak, B.T., and Tremba, A.A., Design of the low-order controllers by the \(H_\infty \) criterion: A parametric approach, Autom. Remote Control, 2007, vol. 68, no. 3, pp. 456–466.
Kalman, R.E., Contributions to the theory of optimal control, Bol. Soc. Mat. Mex., 1960, vol. 5, no. 1, pp. 102–119.
Levine, W. and Athans, M., On the determination of the optimal constant output feedback gains for linear multivariable systems, IEEE Trans. Automat. Control, 1970, vol. 15, no. 1, pp. 44–48.
Mäkilä, P.M. and Toivonen, H.T., Computational methods for parametric LQ problems—A survey, IEEE Trans. Autom. Control, 1987, vol. 32, no. 8, pp. 658–671.
Fazel, M., Ge, R., Kakade, S., and Mesbahi, M., Global convergence of policy gradient methods for the linear quadratic regulator, Proc. 35th Int. Conf. Mach. Learn. (Stockholm, Sweden, July 10–15, 2018), vol. 80, pp. 1467–1476.
Mohammadi, H., Zare, A., Soltanolkotabi, M., and Jovanović, M.R., Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator, Proc. 2019 IEEE 58th Conf. Decis. Control (Nice, France, December 11–13, 2019), pp. 7474–7479.
Zhang, K., Hu, B., and Başar, T., Policy optimization for \(\mathcal H_2 \) linear control with \(\mathcal H_{\infty } \) robustness guarantee: Implicit regularization and global convergence, 2020. arXiv:1910.09496.
Bu, J., Mesbahi, A., Fazel, M., and Mesbahi, M., LQR through the lens of first order methods: Discrete-time case, 2019. arXiv:1907.08921.
Fatkhullin, I. and Polyak, B., Optimizing static linear feedback: Gradient method, SIAM J. Control Optim., 2021, vol. 59, no. 5, pp. 3887–3911.
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., Observer-aided output feedback synthesis as an optimization problem, Autom. Remote Control, 2022, vol. 83, no. 3, pp. 303–324.
Gryazina, E.N., Polyak, B.T., and Tremba, A.A., D-decomposition technique state-of-the-art, Autom. Remote Control, 2008, vol. 69, no. 12, pp. 1991–2026.
Shatov, D.V., Synthesis of parameters of proportional-integrating and proportional-integral-differentiating controllers for time-invariant linear objects with nonzero initial conditions, J. Comput. Syst. Sci. Int., 2023, no. 1 (in press).
˚Aström, K.J. and Hägglund, T., Benchmark systems for PID control, IFAC Proc. Vols., 2000, vol. 33, no. 4, pp. 165–166.
Geem, Z.W., Kim, J.H., and Loganathan, G.V., A new heuristic optimization algorithm: Harmony search, Simulation, 2002, vol. 76, no. 2, pp. 60–68.
Pham, D.T. and Sholedolu, M., The bees algorithm with attraction to global best solutions, Proc. 5th IPROMS Int. Virtual Conf. Innovative Prod. Mach. Syst. (IPROMS 2009) (Cardiff, UK, July 6–17, 2009).
Karaboga, D., An idea based on honey bee swarm for numerical optimization, Tech. Rep. TR06, Erciyes Univ., 2005.
Karaboga, D. and Akay, B., Proportional-integral-derivative controller design by using artificial bee colony, harmony search, and the bees algorithms, Proc. Inst. Mech. Eng. Part I: J. Syst. Control Eng., 2010, vol. 224, no. 7, pp. 869–883.
Panagopoulos, H., ˚Aström, K.J., and Hägglund, T., Design of PID controllers based on constrained optimization, Proc. 1999 Am. Control Conf. (San Diego, USA, June 2–4, 1999), vol. 6, pp. 3858–3862.
Li, Y., Ang, K.H., and Chong, G.C.Y., PID control system analysis and design, IEEE Control Syst. Mag., 2006, vol. 26, no. 1, pp. 32–41.
Leva, A. and Papadopoulos, A.V., Tuning of event-based industrial controllers with simple stability guarantees, J. Process Control, 2013, vol. 23, pp. 1251–1260.
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This work was supported in part by the Russian Science Foundation, project no. 21-71-30005.
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Translated by V. Potapchouck
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Polyak, B.T., Khlebnikov, M.V. New Criteria for Tuning PID Controllers. Autom Remote Control 83, 1724–1741 (2022). https://doi.org/10.1134/S00051179220110029
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DOI: https://doi.org/10.1134/S00051179220110029