LAUSR

This paper deals with the design of sliding mode controllers for the wood drying process. Prediction models based on a nonlinear autoregressive model with exogenous inputs of dry-bulb temperature and equilibrium moisture content during drying were built to design the controllers. A comparative study was performed in order to determine the controller presenting the better performance in practical application. The compared strategies were sliding mode control based on exponent approach law and variable rate approach law. The second controller was introduced to optimize the controller while reducing the chattering phenomenon in comparison with the exponent approach law. To demonstrate the effectiveness of the proposed control strategies, simulation and experimental results were presented.