Sliding mode controller design for wood drying process

Abstract

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.

Fuzzy Modeling in the Management of the Lumber Drying Process: Formalization of uncertainties in the problem

“…For such conditions, the apparatus of the theory of fuzzy sets (TFS) is used and its application is fuzzy modeling, which has shown its effectiveness in solving the widest class of problems in many branches of science and industry. Extensive experimental results on the topic [1][2][3][4] were obtained earlier, the present study is based on them, but known statistics will not be enough to derive a moisture model. A review of some foreign studies [1,[5][6][7][8][9][10][11][12][13][14][15][16][17] shows a similar picture, but no results have been obtained for practical application in intelligent control systems.…”

“…Extensive experimental results on the topic [1][2][3][4] were obtained earlier, the present study is based on them, but known statistics will not be enough to derive a moisture model. A review of some foreign studies [1,[5][6][7][8][9][10][11][12][13][14][15][16][17] shows a similar picture, but no results have been obtained for practical application in intelligent control systems. In this case, solving problems of this class is possible using the TFS (theory of fuzzy sets) apparatus, which should determine the relevance, goals and objectives of modern research.…”

“…The task of increasing energy efficiency has been and remains relevant for the forest industry of the country. The need to stimulate actions for the introduction of energy efficient technologies is directly indicated as one of the global tasks in a number of government documents, for example, in the state policy framework for the period up to 2030 1 .…”

“…Currently, work continues on improving the system of automatic control of drying chambers. For example, the purpose of studying the drying process [1] was to obtain the dependence of the moisture content of wood on the temperature of the drying agent. Such a function was necessary to derive the transfer function of the process controller.…”

RBF based sliding mode control method for lumber drying system

“…SMC shows a better dynamic performance and provides fast response with regards to trajectory tracking and disturbance rejection in the recent studies (Soltanpour et al 2014;Vaidyanathan and Volos 2016;Vijay and Jena 2016;Fu et al 2019). However, the limitation of the conventional SMC controller for lumber drying can be found in the study by Zhou and Wang (2018). A chatter in the system phase locus can be noticed near the origin point, which may stimulate unstable system dynamics, degrading the overall control performance in real-time implementations.…”