摘要
为克服电梯曳引电动机的非线性、负载扰动、外部干扰和参数扰动等问题,以及电梯再生能量利用率低的问题,提出一种基于滑模控制算法的电梯曳引电动机控制和节能设计方法。设计中电梯控制模块采用滑模控制技术和矢量控制技术完成对电梯曳引机的有效控制;位置补偿控制器采用前馈补偿法来实现;速度控制器采用滑模控制算法来实现速度环的控制。电梯节能模块使用超级电容组,采用超级电容节能技术,运用RBF神经网络算法和滑模控制算法实现节能功能。利用FPGA高速运行优势,使用流水线技术实现滑模控制和矢量控制算法。经仿真测试,表明该方法提高了对曳引电动机的控制精度和稳定性;能循环使用电梯再生能量,提高了能量利用率,有效解决了存在的问题。
In order to overcome the problems like non-linearity,load disturbance,external disturbance,parameter disturbance of elevator traction motor and so on,and the low utilization of regenerative energy of elevator,it was proposed that a control and energy-saving design method of elevator traction motor based on sliding mode control algorithm.In the design,sliding mode control technology and vector control technology were used to complete the effective control of elevator traction machine in the elevator control module.The feed forward compensation method was adopted for the position compensation controller.The sliding mode control algorithm was used to control the speed loop in speed controller.In the elevator energy saving module,the super capacitor group was used and the super capacitor energy saving technology was adopted,and the RBF neural network algorithm and sliding mode control algorithm were used to realize the energy saving function.Based on the advantages of high speed running of FPGA,the sliding mode control and vector control algorithm were realized by assembly line technology.The simulation results showed that this method improved the control accuracy and stability of traction motor,which recycled the energy of the elevator,improved the energy utilization rate,and effectively solved the existing problems.
作者
未庆超
王晓侃
饶晓慧
WEI Qingchao;WANG Xiaokan;RAO Xiaohui(Jutong Elevator College,Henan Mechanical and Electrical Vocational College,Zhengzhou 451191,China)
出处
《新技术新工艺》
2023年第4期24-28,共5页
New Technology & New Process
基金
河南机电职业学院校级线场科研项目(HNJDKJYB202101)
河南省高等学校重点科研项目(21B510001)
安阳市科技计划项目(20382)。
作者简介
未庆超(1985-),男,硕士,讲师,主要从事智能控制及嵌入式等方面的研究。
