The Design and Simulation of Extended State Observer for the Crane Load Angle Subsystem
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摘要: 在研究起重机吊重系统防摇控制时,可以分别对小车位移和摆角子系统进行控制器设计。由于在起重机摆角子系统中吊重摆角角速度一般靠传感器进行测量,增加了运行和维护成本。为此提出了设计起重机摆角子系统非线性扩张状态观测器对起重机摆角子系统状态信息进行重构,软测量摆角角速度。给出了观测器的结构方程,并运用Matlab对观测器参数进行了优化整定。参数整定后的扩张状态观测器能够在0.3 s内估计出系统摆角和摆角速度,并且在0.5 s内估计出了系统的外界干扰。仿真结果表明:经过Matlab参数整定的扩张状态观测器(extend state observer,ESO)可以实现对非线性的起重机摆角子系统状态信息的软测量。Abstract: In the study of crane hoisting system rolling control,the design of displacement and pendulum for car slot system controller can respectively be carried out. Because the crane pendulum slot system hoisting pendulum cape speed general by sensor measurement,the operation and maintenance costs increased. The status information of nonlinear extended state observer for crane pendulum slot system was reconstructed,soft measurement pendulum cape speed was put forward. The observer structural equation was given,and the observer parameters were optimized by using Matlab. After the parameters setting of the extended state observer can be in 0. 3 s. inside estimate system pendulum Angle and pendulum angular velocity,and in 0. 5 s. estimate within the system interference. The simulation results show that can realize the nonlinear crane pendulum slot system status information of the soft measurement after Matlab parameter setting of the extended state observer(extend state observer,ESO).
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Key words:
- angular velocity /
- computer simulation /
- computer software /
- controllers /
- crane pendulum slot system
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[1] HO-HOON L，SEUNG-GAP C. A model-based anti-swingcontrol of overhead cranes with high hoisting speeds[C]//Proceedings of the 2001 IEEE International Conference onRobotics & Automation，Seoul，Korea: IEEE Press，2001，3:2547-2552 [2] 王晓军，邵惠鹤. 基于模糊的桥式起重机的定位和防摆控制研究[J]. 系统仿真学报，2005，17(4):936-939Wang X J，Shao H H. Based on the fuzzy of bridge cranepositioning and anti-swing control research[J]. Journal ofSystem Simulation，2005，17(4):936-939 (in Chinese) [3] Chengyuan C，Shihwei H，Kuohung C. A practical fuzzycontrollers scheme of overhead crane[J]. Journal ofControl Theory and Applications，2005，(3):266-270 [4] 黄凯. 起重机自适应智能防摆控制方法及其仿真研究[D]. 南京:南京林业大学，2007Huang K. Crane adaptive intelligent anti-swing controlmethod and simulation study[D]. Nanjing: NanjingForestry University，2007 (in Chinese) [5] 李伟，李超，逯强. 基于图像的起重机载荷摆角测量方法的研究[J]. 山东建筑人学学报，2008，23(5):423-436Li W，Li C，Lu Q. Crane load angular measurementmethod based on image study[J]. Journal of ShandongArchitectural Humanism，2008，23 (5): 423-436 (in Chinese) [6] 钟斌，程文明，马莉丽，等. 基于状态重构的铁路门机状态反馈力控制吊重防摇系统的设计[J]. 起重运输机械，2008，(3):21-25Zhong B，Cheng W M，Ma L L，et al. Based on thereconstruction of the state railway state feedback controlof the crane hoisting stabilizer system design[J].Journal of Lifting the Transport Machinery，2008，(3):21 -25 (in Chinese) [7] 崔建伟，赵雁，钟斌. 起重机吊重系统状态观测器设计与仿真[J]. 计算机仿真，2012，29(3):398-401Cui J W，Zhao Y，Zhong B. State observer design andsimulation of crane hoisting system [J]. ComputerSimulation，2012，29(3):398-401 (in Chinese) [8] 吴晓，程文明，钟斌，等. 基于降维观测器的起重机吊重防摇系统研究[J]. 计算机仿真，2007，(8):323-326Wu X，Cheng W M，Zhong B，et al. Based on areduced-order observer of crane hoisting stabilizer systemresearch[J]. Computer Simulation，2007，(8):323-326(in Chinese) [9] 韩京清. 一类不确定对象的扩张状态观测器[J]. 控制与决策，1995，10(1):85-88Han J Q. The object of a class of uncertain extendedstate observer[J]. Control and Decision，1995，10(1):85-88 (in Chinese) [10] 韩京清. 从 PID 技术到自抗扰控制技术[J]. 控制工程，2002，9(3):17-18Han J Q. From PID to the active disturbance rejectioncontrol technique and [J]. Control Engineering ofChina，2002，9(3):17-18 (in Chinese) [11] 黄一，薛文超，杨晓霞. 自抗扰控制:思想、理论分析及运用[C]// 第二十九届中国控制会议，2010:6083-6088Huang Y，Xue W C，Yang X X. Since the immunitycontrol:ideological，theoretical analysis and the use of[C]// Proceedings of the 29 th Chinese ControlConference，2010:6083-6088 (in Chinese) -
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