State Space Modeling of Thermal Actuators Based on Peltier Cells for Indirect Measurements and Optimal Control

The importance of state space model for indirect measurements systems (IMS) can be highlighted for several operational situations, such as: sensor cost and the inference of sensors in the real world process. The IMS approach can be supported by the theories of system identification, state space description, Box-Jenkins models and microprocessors developments. Our main contribution in this paper is a mathematical model to IMS realization based on state space models, real time algorithms and Peltier cells as thermal actuators. The construction of IMS systems are based on Output-Error models to perform monitoring and control that are used for state space observers and optimal control. For the dynamic system modeling is implemented a low cost data acquisition system microprocessors and sensors acquires the observations that are necessary to estimate the parameters.