Title :
Control of a bioreactor using static and dynamic sliding mode controllers
Author :
Zribi, Mohamed ; Oteafy, Ahmed
Author_Institution :
Electr. Eng. Dept., Kuwait Univ., Safat, Kuwait
Abstract :
The paper deals with the control of a bioreactor. Three sliding mode control schemes are proposed for the bioreactor benchmark problem. The first two controllers are static sliding mode controllers; the third controller is a dynamic sliding mode controller. The three controllers guarantee the asymptotic convergence of the states of the system to their desired values. Simulation results are given to illustrate the effectiveness of the proposed controllers. It is found that the proposed control schemes work well for the benchmark bioreactor problem. Also, the simulation results indicate that the proposed schemes are robust to variations in the parameters of the plant.
Keywords :
bioreactors; convergence; variable structure systems; asymptotic convergence; bioreactor control; dynamic sliding mode controllers; static sliding mode controllers; Artificial neural networks; Benchmark testing; Biological system modeling; Convergence; Robustness; Simulation; Sliding mode control; Bioreactor; Sliding Mode Control;
Conference_Titel :
GCC Conference (GCC), 2006 IEEE
Conference_Location :
Manama
Print_ISBN :
978-0-7803-9590-9
Electronic_ISBN :
978-0-7803-9591-6
DOI :
10.1109/IEEEGCC.2006.5686218