EKF状态估计交流跟踪非线性L2励磁控制  

AC tracking nonlinear L2 excitation control based on the state estimation by EKF

作　　者：谷志锋[1] 朱长青[1] 赵文杰 邵天章[1] 刘洪文[1] 

机构地区：[1]军械工程学院车辆与电气工程系 [2]61741部队

出　　处：《电机与控制学报》2013年第7期68-75,共8页Electric Machines and Control

基　　金：军械工程学院重点基金项目(YJJ10031);军械工程学院基金项目(YJJXM12046)

摘　　要：针对传统非线性鲁棒自适应控制缺乏最优控制功能的不足,依据反演设计、直接反馈线性化和最优控制相关理论,提出了交流跟踪非线性鲁棒最优励磁控制方法。采用扩展卡尔曼滤波(EKF)估计和交流跟踪比较的方法,实现了用状态参数和发电机端电压的快速获取。依据估计和计算得到的状态参数,确定了励磁系统的运行点,最终实现了全运行状态的非线性鲁棒最优励磁控制。仿真结果表明:在动态条件下,EKF能够实现发电机状态的快速估计;交流跟踪基准电压信号能够快速跟踪发电机端电压的变化;非线性鲁棒最优自适应励磁控制既能实现不确定参数的自适应和L2增益干扰抑制,同时具备了传统反演设计不具备的最优控制功能。For the lack of the, optimal control function in the traditional robust adaptive excitation control, combined with the back-stepping design method, the direct feedback linearization （DFL）, and the optimal control theory, the AC tracking excitation nonlinear robust optimal control is proposed in this paper. The state parameters and the terminal voltage of the generator were estimated and calculated by extended Kalman filter （EKF） and AC tracking. According to the values of the state parameters, the running point of the synchronous generator was calculated and the nonlinear robust optimal excitation control （NROEC） was realized. The simulation results show that the dynamic state parameters of the synchronous generator is estimated by EKF, and the AC reference voltage tracks the terminal voltage accurately; the NROEC can guarantees system robustness, suppresses the L2 gain disturbance, and realizes the optimal control of the state variables.

关 键 词：交流跟踪励磁 状态估计 非线性鲁棒最优控制 鲁棒自适应控制 L2增益干扰抑制 

分 类 号：TM301.2[电气工程—电机]