机构地区: 仲恺农业工程学院计算科学学院
出 处: 《仲恺农业工程学院学报》 2011年第1期28-31,共4页
摘 要: 在制动器模拟试验台上应用Kalman滤波进行电惯量控制,综合考虑系统状态变化与观测的不确定性以及实际电机输出电流的物理约束,将预测最小能量误差的电机电流的控制问题转化为数值最优化模型,并进行了求解.仿真试验表明该方法有效. An electrical inertia simulation via Kalman filter in brake testbed was developed.Considering the uncertainty of the system state and measurement,and the physical restriction of the motor,the problem of predicting minimum energy error of motor current control was transformed into a numerical optimization model.A numerical solution of this model was presented in detail.The simulation results showed that this method was effective.