泵控并联变量马达速度系统复合控制策略

郑琦; 李运华; 杨丽曼

泵控并联变量马达速度系统复合控制策略

北京航空航天大学自动化科学与电气工程学院, 北京 100191

基金项目: 国家自然科学基金资助项目(51075016,61004024); 高等学校博士点科研基金资助项目(20080061061)

详细信息

中图分类号: TH 137.31; TP 273.3
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- 文章访问数: 3045
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- 被引次数: 0
出版历程
- 收稿日期: 2011-09-20
- 网络出版日期: 2012-05-30

Compound control strategy for the pump-controlled-parallel-variable-displacement-motor speed system

School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 针对泵控并联变量马达速度系统中的流量自适应分配特性和相乘非线性环节,提出了分别通过变量泵实现系统压力控制和变量马达实现所驱动轴的转速控制的复合控制架构.针对泵控压力系统和变量马达调速系统分别推导了二阶线性化模型.为实现系统压力动态调节,提出了期望压力规划方法,并设计了滑模控制器.通过在变量马达调速PID(Proportion Integration Differentiation)控制器引入扰动观测器,抑制了非线性扰动和未知负载扰动,提高了波动压力下的稳态精度.结合双轴驱动车辆行走驱动转速系统设计了复合控制器,仿真结果确认了所提出的复合控制策略的有效性.
- 容积控制 /
- 滑模控制 /
- 线性化 /
- 扰动观测器 /
- 泵控并联变量马达
Abstract: Addressing the adaptive characteristics of the flow rate and the multiplying nonlinearity in the pump-controlled-parallel-variable-displacement-motor speed system, a kind of compound control architecture was proposed, in which the pressure is controlled by on the variable displacement pump and the rotational speed of each driving axle is controlled by variable displacement motor respectively. The 2-order linearized models of the pump-controlled-pressure-system and the motor-speed-control-system were derived. A pressure planning algorithm and a sliding mode control law were presented for the dynamic regulating of pressure. By means of introducing of the disturbance observer to the motor proportion integration differentiation controller, the nonlinear disturbance and unknown load disturbance can be restrained, so as to promote the steady precision under fluctuant pressure. The compound controller for a 1-pump-2-motor system of the transporter was designed. The simulation verifies validity of the proposed compound control strategy.
- volume control /
- sliding mode control /
- linearization /
- disturbance observer /
- pump-controlled-parallel-variable-displacement-motor

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参考文献(11)

[1]	王岩.变量泵控制变量马达系统变结构控制算法[J].北京航空航天大学学报,2010,36(12):1453-1456 Wang Yan.Variable structure control for variable pump controlling variable motor[J].Journal of Beijing University of Aeronautics and Astronautics,2010,36(12):1453-1456(in Chinese)
[2]	白国长,祁晓野,王占林.具有相乘非线性的马达速度鲁棒控制[J].北京航空航天大学学报,2008,34(7):803-806 Bai Guochang,Qi Xiaoye,Wang Zhanlin.Motor speed robust control with multiplying nonlinear property[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(7):803-806(in Chinese)
[3]	郎燕,李运华.电液复合调节作动器的精确线性化建模与控制[J].北京航空航天大学学报,2009,35(9):1062-1066 Lang Yan,Li Yunhua.Exact linearization based modeling and control for electro-hydraulic compound regulating integrated actuator[J].Journal of Beijing University of Aeronautics and Astronautics,2009,35(9):1062-1066(in Chinese)
[4]	王岩,付永领,牛建军.变量泵-变量马达自适应控制算法研究[J].中国机械工程,2009,20(10):1173-1179 Wang Yan,Fu Yongling,Niu Jianjun.Adaptive control algorithm for variable pump variable motor system[J].China Mechanical Engineering,2009,20(10):1173-1179(in Chinese)
[5]	马鹏飞.全液压推土机液压行驶驱动系统动力学研究 .西安:长安大学工程机械学院,2006 Ma Pengfei.Study on hydraulic bulldozers moving hydraulic driving system dynamics .Xi’an:School of Construction Machinery,Chang’an University,2006(in Chinese)
[6]	Kempf C J,Kobayashi S.Disturbance observer and feedforward design for a high-speed direct-drive positioning table[J].IEEE Transactions on Control Systems Technology,1999,7(5):513-526
[7]	White M T,Tomizuka M,Smith C.Improved track following in magnetic disk drives using a disturbance observer[J].IEEE/ASME Transactions on Mechatronics,2000,5(1):3-11
[8]	Shim H,Jo N H,Son Y.A new disturbance observer for non-minimum phase linear systems //Proceedings of the 2008 American Control Conference.Washington:IEEE,2008:3385-3389
[9]	Chang J L.Applying discrete-time proportional integral observers for state and disturbance estimations[J].IEEE Transactions on Automatic Control,2006,51(5):814-818
[10]	Kobayashi K,Cheok K C,Watanabe K.Estimation of absolute vehicle speed using fuzzy logic rule-based Kalman filter // Proceedings of the 1995 American Control Conference.Evanston:The American Automatic Control Council,1995:3086-3090
[11]	Cuibus M,Bostan V,Ambrosii S,et al.Luenberger,Kalman and neural network observers for sensorless induction motor control // Proceedings of the Third International Power Electronics and Motion Control Conference.Beijing:International Academic Publishers,2000:1256-1261