Design and Realization of Fuzzy Control System for Textile Mill's Air-Conditioning Based on MSP430

Abstract

This paper briefly analyzes the present situation of textile mill's air-conditioning system. Since it is difficult to build an exact mathematic model to control a textile mill's airconditioning system because of the influence of various factors such as the differences in seasons, regions, etc.. This paper suggests utilizing MSP430 MCU as the kernel control chip to collect the data about the temperature and humidity of a workshop, processing the data on a PC, and then using the 485 serial port expanding module to output the parameters. The control system adopts fuzzy control algorithm to control the inverter. And then the purposes of adjusting the temperature and humidity of the workshop are achieved. The results of experiment show that it has the advantages of briefly analysis, high accuracy, and better property by adopting fuzzy control algorithm.

Adaptive Exploration-based Whale Optimization for Image Segmentation Based on Variable Parametric Error

“…From its initiation, FEM has attained great consideration from experts on these techniques [12] [13]. FEM the renowned clustering technique [14] [15], and its improved models were executed as authoritative tools due to its fast convergence, performance and simplicity [16] [17]. In the previous decades, several reseraches have been undertaken on image segmentation using different techniques.…”