Modelo y control asistido por computadora de un sistema industrial. Caso: Planta piloto compacta-UCV

this work presents functions in scilab/scicos under linux to obtain models from experimental data and discreet controllers in an industrial system. the pilot plant developed with industrial components for educational and research purposes, was taken as a typical case. the models of the plant and the deadbeat controllers were generated for the variables of flow, pressure and level. these represent the system, being minimal the sum of the quadratic error made in the measures; the control bonds do not display errors in a permanent condition or oscillating components among the sampling. the functions, scripts and functional modules generated are a contribution for the design of control systems by computer.