Sliding Mode Control with Adaptive Approaching Law for Bioreactor

Abstract:

Bioprocesses have high nonlinearity and parameter uncertainty. In view of these specific natures of the bioreactor, system identification method was firstly used to linearize the nonlinear system and simplify the model of the biological reactor; then a new sliding mode controller with adaptive reaching law is designed for the reactor. The control method can not only analysis the sliding mode movement near or along the switching surface, but also design the dynamic process in trending segments of the system effectively, thus ensure good movement quality in the entire state space. Simulation results prove that the sliding mode control with adaptive reaching law can improve the control performance with negligible chattering and enhanced robustness.

• Periodical: Advanced Materials Research (Volumes 378-379)
• Pages: 521-524
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.378-379.521
• Online since: October 2011
• Authors: Li Ping Fan, Ying Song, Jun Zhang
• Keywords: Adaptive Approaching Law, Bioprocesses, Sliding Mode Control (SMC)

References

[1] L. Mailleret, O. Bernard, J. P. Steyer. Nonlinear Adaptive Control for Bioreactors with Unknown Kinetics.  Vol. 40 (2004), pp.1379-1385

DOI: 10.1016/j.automatica.2004.01.030

[2] S. Tan, Y. Lai, C. Tse. General Design Issues of Sliding-Mode Controllers in DC–DC Converters. IEEE Transactions on Industrial Electronics, Vol. 55 (2008), pp.1160-1175

DOI: 10.1109/tie.2007.909058

[3] D. Selisteanu, E. Petre. Sliding Mode and Adaptive Sliding Mode Control of a Class of Nonlinear Bioprocesses. International Journal of Adaptive Control and Signal Processing. Vol. 21 (2007), p.795–822

DOI: 10.1002/acs.973

[4] W. Gao, Y. Wang. A Homaifa. Discrete Time Variable Structure Control Systems. IEEE Transactions on Industrial Electronics, Vol.42 (1995), pp.117-122

DOI: 10.1109/41.370376

[5] W. Gao, J. C. Hung. Variable Structure Control of Non-Linear Systems: A New Approach. IEEE Transactions on Industrial Electronics, Vol.40 (1993), pp.45-55

DOI: 10.1109/41.184820

[6] H. J. Tham, K. B. Ramachandran, M. A. Hussian. Sliding Mode Control for a Continuous Bioreactor. Chem. Biochem. Eng. Q. Vol.17 (2003), pp.267-275

[7] M. Milanese, C. Novara. Model Quality in Identification of Nonlinear Systems. IEEE Transactions on Automatic Control, Vol. 50 (2005), pp.1066-1071

DOI: 10.1109/tac.2005.856657

[8] L. Ding, T. Gustafsson, A. Johansson. Physical Model Parameter Estimation of a Nonlinear Process. Proceedings of the 2006 IEEE International Conference on Control Applications, FrB10.3 (2006), pp.2933-2939

DOI: 10.1109/cca.2006.286075

[9] O. Mehmet, U. Cem, K. Okyay, X. Yu. Variable Structure Control of a Class of Uncertain Systems. Automatica, Vol. 40 (2004), pp.59-64