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机构地区:[1]北京科技大学冶金工程研究院,北京100083
出 处:《北京科技大学学报》2012年第12期1458-1463,共6页Journal of University of Science and Technology Beijing
基 金:国家科技支撑计划资助项目(2012BAF09B02);北京市科委重大项目(D09030303780902)
摘 要:提出了一种带有负载观测功能的异步电动机广义预测控制算法,在对系统动态模型分析的基础上建立了调速系统的受控自回归积分滑动平均模型.该控制算法给出了能够使下一次采样时刻的实际转速以最优特性跟踪下一时刻参考转速的广义预测控制律,并采用负载转矩观测器的前馈功能增强速度控制的抗干扰能力.仿真和实验结果表明,通过合理选择控制器参数,具有转矩预测功能的直接转矩控制系统在转速跟踪和抗扰能力方面得到一定提高.A generalized predictive control (GPC) law with a disturbance observer was presented for an induction motor. A controlled auto-regressive integrated moving average (CARIMA) model for the drive system of an induction motor was established by analyzing the dynamic equation. The proposed generalized predictive control law aimed to make the actual speed at the next sampling time tracking to the reference speed with optimal characteristics, and the load torque was considered as an unknown disturbance, which could be estimated by a nonlinear observer. In combination with a direct torque control system, the GPC algorithm was applied to configure the torque reference. The stability of the system can be achieved by simple design parameters. Simulation and experimental results prove the effectiveness of the proposed controller.
关 键 词:异步电动机 预测控制系统 负载观测器 受控自回归积分滑动平均
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