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机构地区:[1]郑州大学电气工程学院,河南郑州450001 [2]南安普顿大学电子与计算机科学系
出 处:《控制理论与应用》2013年第8期1021-1026,共6页Control Theory & Applications
基 金:国家自然科学基金资助项目(60974005);教育部博士点专项科研基金资助项目(20094101120008);河南省自然科学基金资助项目(092300410201)
摘 要:针对感应电机高性能转矩跟踪控制和磁链难以直接测量问题,提出了基于无源性的转矩跟踪和自适应磁链观测器控制方案.首先基于感应电机的无源性特性设计了渐近稳定转矩跟踪控制器,重新配置了系统的平衡点,通过注入阻尼提高系统的收敛速度.然后通过将定子电流和转子磁链作为状态变量构建了自适应磁链观测器,简化了观测器结构,根据Lyapunov稳定性理论设计了自适应控制律,实现转子磁链、转速和定子电阻的在线估计.为减小转速估计误差对观测器的影响,给出了观测器增益矩阵的选择方法.仿真结果表明本文所提出的基于自适应观测器的无源控制方案能够有效提高感应电机的动静态性能.For the high performance torque tracking and the flux observer of the induction motors, a passivity-based tracking controller and adaptive observer are proposed. By utilizing the passivation property of the induction motors, we put forward an asymptotical torque tracking controller. The equilibrium point of the system is reassigned and the damping injection controller is proposed to improve the convergence rate of the system. To simply the structure of the flux observer, the stator currents and the rotor flux are used as the states to construct the adaptive flux observer. An adaptive controller is developed based on the Lyapunov stability theory to realize the online estimation of the flux magnitude, motor speed and stator resistance. The observer gain is chosen to decrease the effect of the speed estimation error. Simulation results show that the proposed adaptive-observer-based passivity tracking control strategy can effectively improve the static and dynamic performances of the induction motors.
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