Shaalan Abdelhamied S, El-Nagar Ahmad M, El-Bardini Mohammad, Sharaf Mohammed
Factory manager at Misr for Plastic Products Co. (MPPC), Sadat City, Egypt.
Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering, Menoufia University, Menof, 32952, Egypt.
ISA Trans. 2020 Aug;103:237-251. doi: 10.1016/j.isatra.2020.03.026. Epub 2020 Mar 25.
The present study introduces the problem of controlling the polymer extrusion (PE) machine by applying a fuzzy sliding mode control (FSMC) structure. The PE is an uncertain and perturbed common industrial process. The problems of the PE often arise from a maladjusted and unsteady feeding rate. For the proposed FSMC, the proportional-integral (PI) sliding surface is derived intuitively. The reaching control is implemented using the fuzzy inference system (FIS) to improve control robustness and avoid undesired chattering effect. Stability of proposed FSMC is studied using Lyapunov stability approach. The implementing of FSMC in real-time using a microcontroller kit is carried out. The experimental testing of the proposed FSMC for PE machine is performed. The comparative quantitative analysis of the proposed FSMC, the second order sliding mode control (SOSMC) and PID algorithms are presented. The system performance shows the effectiveness of the proposed FSMC.
本研究介绍了通过应用模糊滑模控制（FSMC）结构来控制聚合物挤出（PE）机的问题。聚合物挤出是一个具有不确定性和干扰的常见工业过程。聚合物挤出问题通常源于进料速率调整不当和不稳定。对于所提出的模糊滑模控制，比例积分（PI）滑模面是直观推导得出的。采用模糊推理系统（FIS）实现趋近控制，以提高控制鲁棒性并避免不期望的抖振效应。使用李雅普诺夫稳定性方法研究了所提出的模糊滑模控制的稳定性。利用微控制器套件实时实现了模糊滑模控制。对所提出的用于聚合物挤出机的模糊滑模控制进行了实验测试。给出了所提出的模糊滑模控制、二阶滑模控制（SOSMC）和PID算法的对比定量分析。系统性能表明了所提出的模糊滑模控制的有效性。
