基于UKF的交流异步电力测功机软测量模型

Soft Sensor Modal of AC Asynchronous Electrical Dynamometer Based on UKF

研究汽车发动机性能,针对解决目前交流异步电力测功机系统转速和转矩的测量方法复杂、测试系统成本高等问题,从交流异步电力测功机的五阶状态方程出发,将系统加载转矩作为未知状态,为了提高测量的精度和转速的稳定性,建立了新的六阶交流异步电力测功机状态方程。在此基础上,采用无轨迹卡尔曼滤波算法(UKF)对转速和转矩进行估计,建立基于UKF的交流异步电力测功机系统软测量模型。实验结果表明,模型能对系统的转速和转矩进行有效的估计,为发动机等传动设备的输入输出机械功率测试提供了一种新的方法。

In order to solve the problem of very expensive and complicated measurement system which is used for speed and torque of the AC asynchronous electrical dynamometer,begin with the fifth-order system equation of the AC asynchronous electrical dynamometer,a new sixth-order equation is proposed using torque as unknown input.Then the unscented Kalman filter（UKF） is used to estimate the speed and torque,and a soft sensor model based on the unscented Kalman filter（UKF） is put forward.The experimental result proves that the soft sensor model can provide an effective estimate for the speed and torque,and it affords a new method for the measurement of the input power,output power and the torque in the power-mechanical field.