| With people’s continuous pursuit of a better life,intelligent life is becoming more and more popular.However,traditional electric window opening devices mostly use single motor control and have a single control mode,small torque,slow window opening speed and uneven force.When facing large windows or curtain walls,they cannot work properly.For the above problems,the thesis designs a new multi-motor intelligent window opening device.Users can increase or decrease the number of motors in the system according to their actual needs,thus improving window opening efficiency and saving money.First,by comparing and analyzing four common multi-motor synchronous control strategies,the most suitable deviation-coupled control system for electric window openers is selected.In order to solve the performance problems of the traditional deviation-coupled control system,the thesis proposes a PI algorithm to adjust the output of the signal and combines the Radial Basis Function(RBF)neural network algorithm to further optimize and improve the synchronization performance of the deviation-coupled control system to achieve better control effects.Then,the paper models the deviation-coupled control system with neural network optimized PI by MATLAB/Simulink simulation platform.By comparing the anti-jamming capability of multi-motors under the conventional deviation-coupled control system,PI deviation-coupled synchronous control system and RBF-optimized PI deviation-coupled control system.It is proved that the RBF-optimized PI deviation-coupled control system controls better,in order to further verify the feasibility of the RBF-PI control strategy.The experiments verify the effectiveness and feasibility of the RBF-PI control algorithm.Finally,based on the study of multi-motor synchronous control,a multi-functional intelligent window opening system is designed and a physical prototype is fabricated with STM32F407ZET6 as the main control chip.This system includes multi-sensor coordination control,cell phone APP remote control and button control.It can monitor the external environment in real time and make a logical judgment whether the window needs to be opened or not.The system designs the interface and functions of the cell phone APP,which can monitor the changes of the surrounding environment in real time and can send remote control commands as needed to achieve fast switching of windows.The proposed method is verified through simulation and its physical prototype test.The test results show that the maximum overshoot of the multi-motor variable speed stage is 1.25% and the synchronous speed error is 18r/min under the RBF-PI deviation coupling control multi-motor operation,which verifies that the method effectively improves the steady-state performance of the window opener and reduces the synchronous error.The system can provide a complete design solution for the practical application of intelligent window opener engineering,and multiple control methods can realize intelligent control to meet the needs of various scenarios of window openers. |
