Design and Implementation of an Industrial Intelligent Infrared Remote Controller

Abstract

Aiming at the problems of the traditional electric actuator in the field of plant control, such as low control accuracy, low reliability and the unsuccessful debugging process, an intelligent infrared remote control system with MSP430F2111 as the core controller is designed. In the design, fuzzy clustering and structure recognition mean compression pulse width counting algorithm are used to identify and classify the collected remote control coded data effectively, which solves the problems of limited storage space, low transmission rate and high power consumption in the remote control system. UART (Universal Asynchronous Receiver/Transmitter) protocol is used to communicate with the electric actuator, and its status information and data information are displayed on the LCD (Liquid Crystal Display) screen, which improves the transmission rate and accuracy of the whole electric actuator system. On this basis, the overall structure of the system and the corresponding functional modules are designed. Finally, the coding simulation test is carried out through the software platform. The practice results show that the remote controller can control the electric actuator quickly and stably, and the simulation results are in good agreement with the field debugging results.