Abstract
Under the framework of switched systems, this paper considers a multi-proportional-integral-derivative controller parameter tuning problem with terminal equality constraints and continuous-time inequality constraints. The switching time and controller parameters are decision variables to be chosen optimally. Firstly, we transform the optimal control problem into an equivalent problem with fixed switching instants by introducing an auxiliary function and a time-scaling transformation. Because of the complexity of constraints, it is difficult to solve the problem by conventional optimization techniques. To overcome this difficulty, a novel exact penalty function is introduced for these constraints. Furthermore, the penalty function is appended to the cost functional to form an augmented cost functional, giving rise to an approximate nonlinear parameter optimization problem that can be solved using any gradient-based method. Convergence results indicate that any local optimal solution of the approximate problem is also a local optimal solution of the original problem as long as the penalty parameter is sufficiently large. Finally, an example is provided to illustrate the effectiveness of the developed algorithm.




Similar content being viewed by others
References
Ziegler, J.G., Nichols, N.B.: Optimum settings for automatic controllers. Trans. Am. Soc. Mech. Eng. 64, 759–768 (1942)
Ho, W.K., Hang, C.C., Cao, L.S.: Tuning of PID controllers based on gain and phase margin specifications. Automatica 31, 497–502 (1995)
Xu, J.X., Hang, C.C., Liu, C.: Parallel structure and tuning of a fuzzy PID controller. Automatica 36, 673–684 (2000)
Chang, W.D., Hwang, R.C., Hsieh, J.G.: A self-tuning PID control for a class of nonlinear systems based on the Lyapunov approach. J. Process Control 12, 233–242 (2002)
Liu, G.P., Daley, S.: Optimal-tuning PID control for industrial systems. Control Eng. Pract. 9, 1185–1194 (2001)
Meza, J.L., Santibanez, V., Soto, R., Llama, M.A.: Fuzzy self-tuning PID semiglobal regulator for robot manipulators. IEEE Trans. Ind. Electron. 59, 2709–2717 (2012)
Ho, M.T., Lin, C.Y.: PID controller design for robust performance. IEEE Trans. Autom. Control 48, 1404–1409 (2003)
Ang, K.H., Gregory, G., Li, Y.: PID control system analysis, design, and technology. IEEE Trans. Control Syst. Technol. 13, 559–576 (2005)
Padula, F., Visioli, A.: Tuning rules for optimal PID and fractional-order PID controllers. J. Process Control 21, 69–81 (2011)
Chiou, J.S., Tsai, S.H., Liu, M.T.: A PSO-based adaptive fuzzy PID-controllers. Simul. Model. Pract. Theory 26, 49–59 (2012)
Liberzon, D., Morse, A.S.: Basic problems in stability and design of switched systems. IEEE Control Syst. Mag. 19, 59–70 (1999)
Zhang, L.X., Gao, H.J.: Asynchronously switched control of switched linear systems with average dwell time. Automatica 46, 953–958 (2010)
Long, L.J., Zhao, J.: Global stabilization for a class of switched nonlinear feedforward systems. Int. J. Syst. Sci. 60, 734–738 (2011)
Branicky, M.S., Borkar, V.S., Mitter, S.K.: A unified framework for hybrid control: model and optimal control theory. IEEE Trans. Autom. Control 43, 31–45 (1998)
Seatzu, C., Corona, D., Giua, A., Bemporad, A.: Optimal control of continuous-time switched affine systems. IEEE Trans. Autom. Control 51, 726–741 (2006)
Xu, X., Antsaklis, P.: Optimal control of switched systems based on parameterization of the switching instants. IEEE Trans. Autom. Control 49, 2–16 (2004)
Egerstedt, M., Wardi, Y., Axelsson, H.: Transition-time optimization for switched-mode dynamical systems. IEEE Trans. Autom. Control 51, 110–115 (2006)
Kaya, C.Y., Noakes, J.L.: Computational method for time-optimal switching control. J. Optim. Theory Appl. 117, 69–92 (2003)
Kamgarpoura, M., Tomlin, C.: On optimal control of non-autonomous switched systems with a fixed mode sequence. Automatica 48, 1177–1181 (2012)
Ghosh, R., Tomlin, C.: Symbolic reachable set computation of piecewise affine hybrid automata and its application to biological modelling: Delta–Notch protein signalling. Syst. Biol. 1, 170–183 (2004)
Axelsson, H., Wardi, Y., Egerstedt, M., Verriest, E.: Gradient descent approach to optimal mode scheduling in hybrid dynamical systems. J. Optim. Theory Appl. 136, 167–186 (2008)
Loxton, R., Teo, K.L., Rehbock, V: Computational method for a class of switched system optimal control problems. IEEE Trans. Autom. Control 54, 2455–2460 (2009)
Caldwell, T.M., Murphey, T.D.: Switching mode generation and optimal estimation with application to skid-steering. Automatica 47, 50–64 (2011)
Caldwell, T.M., Murphey, T.D.: Single integration optimization of linear time-varying switched systems. IEEE Trans. Autom. Control 57, 1592–1597 (2012)
Ding, X., Wardi, Y., Egerstedt, M.: On-line optimization of switched-mode dynamical systems. IEEE Trans. Autom. Control 54, 2266–2271 (2009)
Gonzalez, H., Vasudevan, R., Kamgarpour, M., Sastry, S., Bajcsy, R., Tomlin, C.: Computable optimal control of switched systems with constraints. In: Proceedings of the 13th International Conference on Hybrid Systems, Stockholm, Sweden, pp. 51–60 (2010)
Sakawa, Y., Shindo, Y.: Optimal control of container cranes. Automatica 18, 257–266 (1982)
Soler, M., Olivares, A., Staffetti, E.: Hybrid optimal control approach to commercial aircraft trajectory planning. J. Guid. Control Dyn. 33, 985–991 (2010)
Gerdts, M., Kunkel, M.: A nonsmooth Newton’s method for discretized optimal control problems with state and control constraints. J. Ind. Manag. Optim. 4, 247–270 (2008)
Yu, C., Teo, K.L., Zhang, L., Bai, Y.: A new exact penalty function method for continuous inequality constrained optimization problems. J. Ind. Manag. Optim. 6, 895–910 (2010)
Teo, K.L., Goh, C.J., Wong, K.H.: A Unified Computational Approach for Optimal Control Problems. Longman Scientific & Technical, New York (1991)
Acknowledgements
The authors express their sincere gratitude to Professor Franco Giannessi, Professor David G. Hull, the editor, and the anonymous reviewers for their constructive comments in improving the presentation and quality of this manuscript. This work was supposed by the Chinese National Outstanding Youth Foundation under Grant No. 61125306, the Major Program of Chinese National Natural Science Foundation under Grants Nos. 91016004 and 11190015.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wu, X., Zhang, K. & Sun, C. Parameter Tuning of Multi-Proportional-Integral-Derivative Controllers Based on Optimal Switching Algorithms. J Optim Theory Appl 159, 454–472 (2013). https://doi.org/10.1007/s10957-013-0306-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-013-0306-8