摘要

The main goal of this work is to present an alternative design for the well-known linearizing control technique. The classical linearizing controller is a model based methodology, where via plant inversion, the controller cancels the nonlinearities of the system, imposing a desired trajectory. However, this approach needs a perfect knowledge of the model's plant to be realizable. Unfortunately, the perfect knowledge of the model's system is, in general, hard to obtain. Therefore an alternative controller is proposed, which compensates the nonlinearities of the system by cancelling the upper bounds of the system via an adequate selection of the control's gains. Besides, a proportional feedback is provided in order to impose a first order stable dynamic behaviour with asymptotic and exponential convergence to the desired trajectory. The proposed control methodology is applied to a continuous bioreactor, where the kinetic model was experimentally corroborated and corresponds to an anaerobic sulfate-reducing system. A sketch of proof of the closed-loop stability of the system is provided and numerical experiments show a satisfactory performance of the proposed methodology.

  • 出版日期2017