无刷直流电机优化的自适应全局滑模控制  被引量:2

Brushless DC Motor Optimized Adaptive Global Sliding Mode Control

在线阅读下载全文

作  者:刘慧博[1] 李朝阳[1] 孙书美[1] 

机构地区:[1]内蒙古科技大学信息工程学院,内蒙古包头014010

出  处:《微电机》2014年第3期56-59,共4页Micromotors

摘  要:永磁无刷直流电机具有结构简单、维护方便、可靠性高等优点,但是它又是多变量、强耦合、参数时变的控制对象。因此传统的控制策略很难达到高性能的控制。滑模变结构控制因为其具有响应快速,对参数变化不敏感,物理上实现简单等优点,在非线性控制领域得到了广泛的应用。但是传统的滑模变结构控制也存在不足,比如变结构的鲁棒性只有到达滑动模态时才能体现,而且当状态轨迹到达滑模面后很难严格沿着滑模面向着平衡点运动而是在滑模面的两侧做穿越运动从而产生了抖振。针对以上问题提出了自适应全局滑模变结构控制同时对趋近律进行优化的控制方案,既解决了干扰上界难以确定的问题又使控制器具有全局鲁棒性,同时减小了抖振。通过仿真结果表明,该控制策略应用到无刷直流电机上,使系统具有响应速度快、超调小、鲁棒性强等优点。Brushless DC motor's structure is simple and easy to maintain, at the same time its reliability is high. But the control object is also multi-variable, strong coupling, time-varying parameters . Traditional control strategy is difficult to achieve high-performance. Sliding mode variable structure control's fast re- sponse, not sensitive to parameter changes, simple physics, so it has been widely used in the field of nonlin- ear control. But the traditional sliding mode control strategy is also inadequate, such as when only arrive in dynamic sliding surface the robustness of the variable structure sliding mode is reflected. And when the state trajectory reaches the sliding surface the state trajectory is difficult to strict equilibrium point along the sliding movement of the sliding surface on both sides but did cross the movement resulting in a buffeting. Aiming at the above problems, this paper raised the adaptive sliding mode variable structure control while optimizing reaching law control scheme, the controller has a global robustness while reducing buffeting. The control strategy applied to a brushless DC motor, the simulation results show that the proposed control strategy makes brushless DC motor speed control system with fast response, small overshoot, and strong robustness, and so on.

关 键 词:无刷直流电机 全局滑模变结构 自适应控制 趋近律优化 MATLAB仿真 

分 类 号:TM361[电气工程—电机]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象