PHELP: Pixel Heating Experiment Learning Platform for Education and Research on IAI-based Smart Control Engineering

Thermal processes are one of the most common systems in the industry, making its understanding a mandatory skill for control engineers. So, multiple efforts are focused on developing low-cost and portable experimental training rigs recreating the thermal process dynamics and controls, usually limited to SISO or low order 2×2 MIMO systems. This paper presents PHELP, a low-cost, portable, and high order MIMO educational platform for uniformity temperature control training. The platform is composed of an array of 16 Peltier modules as heating elements, with a lower heating and cooling times, resulting in a 16×16 high order MIMO system. A low-cost realtime infrared thermal camera is employed as a temperature feedback sensor instead of a standard thermal sensor, ideal for high order MIMO system sensing and temperature distribution tracking. The control algorithm is developed in Matlab/Simulink and employs an Arduino board in hardware in the loop configuration to apply the control action to each Peltier module in the array. A temperature control experiment is performed, showing that the platform is suitable for teaching and training experiences not only in the classroom but also for engineers in the industry. Furthermore, various abnormal conditions can be introduced so that smart control engineering features can be tested.

[1]  Dongya Zhao,et al.  Distributed model predictive control for the atmospheric and vacuum distillation towers in a petroleum refining process , 2016, 2016 UKACC 11th International Conference on Control (CONTROL).

[2]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[3]  Christian del Carpio,et al.  Development of Automatic Control for Temperature-based Reduction of Bitterness in Tarwi , 2018, 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA).

[4]  YangQuan Chen,et al.  Fractional-order Systems and Controls , 2010 .

[5]  Osman Parlaktuna,et al.  Design of an experimental platform for process control systems , 2015, 2015 9th International Conference on Electrical and Electronics Engineering (ELECO).

[6]  Daniel Eduardo Rivera Flores UNA METODOLOGÍA PARA LA IDENTIFICACIÓN INTEGRADA CON EL DISEÑO DE CONTROLADORES IMC-PID , 2007 .

[7]  Juan Du,et al.  A Condition Change Detection Method for Solar Conversion Efficiency in Solar Cell Manufacturing Processes , 2019, IEEE Transactions on Semiconductor Manufacturing.

[8]  D. Dik,et al.  The System of Environment Control of Botanic Garden Greenhouses , 2018, 2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon).