基于实时气象信息的智能衣架伸缩控制研究

为了提高无人状态下智能衣架自动晾晒和回收衣物的稳定性和准确性，提出一种新的基于实时气象信息的智能衣架伸缩控制方法。介绍了智能衣架工作原理。通过NHZD10光照传感器对光照情况进行感知，通过雨量传感器对雨水进行检测，给出光照和雨量传感器参数。驱动部分选用L298N电机驱动模块，当集成运放输出高电平时，电机驱动模块驱动改进粒子群前馈PID控制器，实现对智能衣架伸缩的控制。分析了前馈PID控制器的控制原理，介绍了粒子群算法，针对其早熟收敛的弊端对其进行调整，通过改进粒子群方法获取最优PID控制参数，提高控制精度，给出改进粒子群前馈PID控制器。实验结果表明：所提方法控制精度和稳定性高，抗参数失配能力强。

Research on telescopic control of intelligent clothes hanger based on real-time meteorological information

In order to improve the stability and accuracy of intelligent clothes hanger for automatically drying and taking clothes back under unattended condition, a new telescopic control method of intelligent hanger based on real-time meteorological information was proposed. The working principle of intelligent clothes hanger was introduced. The NHZD10 light intensity sensor was used to sense the illumination. Rain water was detected by rain sensor. The parameters of illumination and rain sensor were given in this paper. The L298N was used as driving part for motor driver module. When the integrated operational amplifier output the high level, the improved particle swarm feed-forward PID controller was driven by the motor driver module to realize the telescopic control of intelligent clothes hanger. The control principle of feed-forward PID controller and introduced particle swarm algorithm were analyzed, then it was adjusted aiming at the premature convergence and obtained the optimal PID control parameters through the improved particle swarm optimization method. Finally, the control precision was improved and the improved particle swarm feed-forward PID controller was given. Experimental results show that the proposed method has high control accuracy and stability. It has strong anti parameter mismatch ability.