论文标题
PHELP:基于IAI的智能控制工程教育和研究的像素加热实验学习平台
PHELP: Pixel Heating Experiment Learning Platform for Education and Research on IAI-based Smart Control Engineering
论文作者
论文摘要
热过程是行业中最常见的系统之一,使其理解是控制工程师的强制性技能。因此,多次努力集中在开发低成本和便携式实验训练钻机,以重新创建热过程动力学和控制,通常仅限于SISO或低阶2x2 MIMO系统。本文介绍了Phelp,这是用于均匀性温度控制训练的低成本,便携式和高级MIMO教育平台。该平台由16个Peltier模块作为加热元件组成,加热和冷却时间较低,导致16x16高级MIMO系统。低成本的实时红外热摄像机用作温度反馈传感器,而不是标准的热传感器,非常适合高阶MIMO系统传感和温度分布跟踪。控制算法是在MATLAB/SIMULINK中开发的,并在Loop配置中使用硬件中使用Arduino板,以将控制操作应用于数组中的每个Peltier模块。进行了温度控制实验,表明该平台不仅适合教学和培训经验,而且还适用于行业中的工程师。此外,可以引入各种异常条件,以便可以测试智能控制工程功能。
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 2x2 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 16x16 high order MIMO system. A low-cost real-time 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.