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In this paper, a Sliding Mode Control based on a First-Order-Plus-Dead-Time model of the prooess is developed and a set of tuning equations, using the Nelder-Mead searching algorithm, as a function of the characteristic parameters of the First-Order-Plus-Dead-Time model. Using a PID algorithm the sliding mode control is implemented. A non-linear chemical process is simulated and the proposed controller's performance is judged and compared with a BID controller.

ResumenSe revisan los conceptos sobre la supervisión de procesos y se define la terminología y las funciones básicas de un sistema supervisor, así como los diferentes enfoques para el diseño de dicho sistema. Se selecciona un formalismo para la representación y modelado de la dinámica del proceso y se expresan las especificaciones desde esa base formal. La propuesta metodológica está orientada a los sistemas convencionales, pero la representación formal de la especificación y el modelo del comportamiento sirven de base para agregar las funcionalidades propias de sistemas modernos de supervisión inteligente. Palabras clave: supervisión de procesos, supervisión industrial, control supervisorio, automatización integrada Methodological Contributions for the Design of Supervision Systems of Continuous Processes AbstractThe concepts of supervised process available in the literature are reviewed and the terminology and the basic functions of a supervisory system are defined. Also, the different approaches used for the design of such systems are analyzed. An appropriate formalism for the representation and modeling of the dynamics of the process is selected and the system specifications are expressed from that formal selected basis. The proposed methodology is focused on the conventional hierarchical systems, but both, the formal representation of the specification as well as the behavior model can be used for adding the other functionalities of other modern intelligent supervision systems.