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机构地区:[1]北京理工大学信息科学技术学院,北京100081 [2]河北软件职业技术学院智能工程系,河北保定071000
出 处:《电机与控制学报》2008年第5期598-602,共5页Electric Machines and Control
基 金:北京市教育委员会共建基金(XK100070532)
摘 要:为了解决含电压和电流饱和约束的永磁同步电机(PMSM)的速度调节问题,根据混杂系统的理论,在建立模型和控制器设计的过程中,将电压和电流饱和非线性问题作为约束条件考虑到控制器的设计中。采用混杂系统描述语言建立了混合逻辑动态模型,设计了混杂模型预测控制器(MPC)实现电机速度的最优调节,实现了控制器的系统化设计。为了降低计算复杂度和在线计算时间,利用多参数规划方法将混杂MPC转换成与其等价的离线形式。实验验证:与线性二次型调节器相比,混杂MPC没有超调,而且计算复杂度能够满足小采样时间系统的实时控制。To solve the speed regulation problem of permanent magnet synchronous motor (PMSM) with voltage and current saturation constraints, the saturation nonlinearities on voltage and current are taken account into the design of controller as constraints during modeling and controller design based on the hy- brid system theory. The model was described first in the hybrid system description language to obtain a mixed logical dynamical model. A hybrid model predictive controller (MPC) was designed based on the established mixed logical dynamical model, thus achieving the systematic design of the controller. For reducing computation complexity and on-line computation time, the hybrid MPC was converted to its equivalent explicit form by employing multi-parametric programming techniques. Finally, it was demonstrated by experiments that the hybrid MPC has no overshoot compared with a linear quadratic regulator. The computation complexity meets the needs of real-time control for systems with small sampling time.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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