Research On Elevator Traction Machine Speed Control System Based On Intelligent Control Algorithm

With the continuous development of China's urbanization process,limited urban land resources can no longer meet the living space needs of a large number of urban populations.High-rise buildings effectively solve the contradiction between population and land resources shortage.With the emergence of high-rise buildings,elevators become the main transportation of high-rise buildings.The performance of the elevator traction motor control system directly affects operational safety,elevator energy consumption and elevator ride comfort.Therefore,improving the control precision of the traction motor and adopting advanced intelligent control algorithms have a very practical significance for improving the running performance of the elevator,reducing the energy consumption of the elevator and enhancing the comfort of the elevator ride.Therefore,improving the control precision of the traction motor and adopting advanced intelligent control algorithms have a very practical significance for improving the running performance of the elevator,reducing the energy consumption of the elevator and enhancing the comfort of the elevator ride.In this paper,the permanent magnet synchronous elevator traction motor is selected as the research object.Firstly,the research status of elevator traction and drag technology at home and abroad is analyzed.Combined with the characteristics of permanent magnet synchronous motor speed control strategy,direct torque control with high control precision(DTC)is selected.The strategy is research object,combined with space vector pulse width modulation(SVPWM)technology,a direct torque control method based on SVPWM is proposed,and a complete elevator traction motor control system is designed.In order to meet the requirements of elevator ride comfort,the elevator speed curve is studied,and the parabolic elevator speed curve is selected as the speed reference curve and applied to the elevator traction motor direct torque control system.Because the traditional PID controller parameters are fixed,a fixed mathematical model is needed.The fuzzy control algorithm has the characteristics of not relying on accurate mathematical models.The fuzzy control strategy is adopted and the fuzzy control law is established.Fuzzy adaptive PID controller can be established to control nonlinearity,strongly coupled,time-varying,permanent magnet synchronous traction motor.The control of the permanent magnet synchronous traction motor with nonlinear,strong coupling and time-varying parameters can be realized.Finally,combined with the fuzzy inference characteristics of fuzzy control and the learning ability of neural network,a Fuzzy RBF neural network controller is established and used as the speed outer loop controller to be applied to the elevator traction motor speed control system.Finally,the simulation model of elevator traction motor speed control system is built in Simscape.Fuzzy adaptive PID controller and Fuzzy RBF neural network controller are analyzed in combination with the elevator speed curve,and compared with the traditional PID control algorithm.The simulation results show that the two intelligent control algorithms can effectively reduce the overshoot of the speed,enhance the anti-interference ability of the control system,and have better follow-up to the elevator speed curve,greatly improving the comfort of the elevator ride.