Optimization Research And Application Of Construction Elevator Control System Based On Intelligent Control Algorithm

The construction elevator is the key equipment for the construction of high-rise buildings.The stability,comfort and safety of the construction elevator directly determine the quality and efficiency of high-rise building construction.However,the operation of high-rise construction elevators is affected by multiple factors such as load changes,operating heights,electromagnetic losses,and operating environment.The traditional PID(Proportional Integral Derivative)control method can no longer meet the efficiency and comfort requirements of high-rise construction elevators.Therefore,this study comprehensively considers the factors affecting the operation of the construction elevator,Using intelligent control algorithms to optimize the construction elevator control system.This research aims to achieve the optimal speed curve of high-rise construction elevators.In view of the problems in the speed and torque control of the traditional control system of the construction elevator.Based on the modeling of the control system,the fuzzy control algorithm is introduced to improve and optimize the traditional control method.The control system is affected by a variety of factors.Based on the Random Forest(RF)algorithm,the importance of each influencing factor is analyzed.Using Genetic Algorithm(GA)to optimize Support Vector Machine(SVM)algorithm,an RFGA-SVM optimization control model for construction elevators is constructed.The main research contents are:(1)Modeling and analysis of control system: According to the structure of the construction elevator transmission system,the mathematical model of each link of the construction elevator control system is established.The system function is obtained after transforming in the complex frequency domain.Set simulation conditions according to actual operating conditions.Simulate and analyze the speed control of the system.The response characteristics of the system are obtained.(2)Design of fuzzy adaptive PID control system: According to the high-altitude operation requirements of the construction elevator.The fuzzy control method in intelligent control is adopted,a fuzzy adaptive PID controller is constructed,and a fuzzy adaptive PID control system is designed.In the simulation software,the speed control of the system is simulated and analyzed,and the speed control performance of the system when used in high-rise buildings is tested.(3)Analysis of the importance of influencing factors based on the random forest algorithm: On the basis of system modeling and analysis,factors such as the operating parameters of the construction elevator and electromagnetic losses are considered.The relationship between some factors is analyzed.RF algorithm is used to mine historical operating data,calculate the importance coefficient of each factor.The unimportant factors in the speed control of the construction elevator are reduced.The "curse of dimensionality" in subsequent regression analysis was effectively avoided.(4)Modeling of control system based on GA-SVM algorithm: It is based on the analysis of the importance of the factors in the RF algorithm.Using GA to optimize the key parameters of SVM algorithm,and build GA-SVM algorithm model.Using the data collected by the construction elevator remote monitoring platform,the training and testing of the control model are completed.The optimal output voltage of the inverter under the requirements of speed,torque and multiple factors is determined.The test results show that the RF-GA-SVM model established in this study has a better control effect.In the use of high-rise and super high-rise buildings,it has reached the requirements of accurate speed control,comfort and stability.