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南京理工大学 机械工程学院, 江苏 南京 210094
Received:23 February 2022,
Published:10 February 2023
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Shusen YUAN, Wenxiang DENG, Jianyong YAO, et al. Adaptive Integral Robust Control for the Bidirectional Stability System of All-electric Tanks[J]. Acta Armamentarii, 2023, 44(1): 140-155.
Shusen YUAN, Wenxiang DENG, Jianyong YAO, et al. Adaptive Integral Robust Control for the Bidirectional Stability System of All-electric Tanks[J]. Acta Armamentarii, 2023, 44(1): 140-155. DOI: 10.12382/bgxb.2022.0107.
针对全电坦克双向稳定系统具有复杂的强非线性、强耦合性、强参数时变性等特点
提出了一种基于误差符号积分鲁棒反馈的坦克双向稳定系统自适应积分鲁棒(AIR)控制设计方法。考虑全电坦克双向稳定系统为一个耦合性的、非线性的、不确定性的动力学系统
建立面向真实的全电坦克双向稳定系统机电一体化解析动力学模型;基于Backstepping法融合自适应的思想
引入辅助误差信号设计了AIR控制器
有效衰减系统的未建模扰动;所设计的AIR控制器不需要预先知道未知扰动的上界
而是通过自适应的方法不断更新以获取其上界
降低了其工程应用的保守性;基于Lyapunov理论分析
在连续控制输入下可以保证坦克双向稳定系统获得渐进跟踪性能。通过Recurdyn-Simulink的仿真对比试验
验证所提方法的有效性。
The bidirectional stability system of all-electric tanks is highly nonlinear
high in coupling
and have time-varying parameters. An adaptive integral robust (AIR) control design is thus proposed for such a system based on robust integral of the sign of the error feedback. First
considering that the bidirectional stability system of all-electric tanks is a high-coupling
nonlinear
and uncertain dynamic system
a realistic mechatronic analytical dynamical model is established. Second
an AIR controller is designed by combining backstepping control and adaptive control and introducing auxiliary error signals
to effectively attenuate unmodeled disturbances of the system. In addition
the AIR controller designed does not require the upper bound of the unknown disturbance in advance
but it keeps updating the disturbance to obtain its upper bound by an adaptive method
thus reducing the conservatism of its engineering application. Based on Lyapunov theory
the tank bidirectional stability system can achieve asymptotic tracking performance with continuous control input. Finally
the effectiveness of the proposed method is verified by simulation using Recurdyn-Simulink.
马晓军 , 袁东 , 臧克茂 , 等 . 数字全电式坦克炮控系统研究现状与发展 [J ] . 兵工学报 , 2012 , 33 ( 1 ): 69 - 76 . 为提高系统战技性能、可靠性和信息化水平,适应高机动复杂条件作战要求,数字全电式坦克炮控系统成为世界各国努力发展的方向。介绍了全电式炮控系统的概念、特点与结构;在此基础上,从动力系统和控制系统两个方面回顾了近年来国内外在炮控系统全电化及其数字控制方面的研究进展;分析了未来炮控系统的发展趋势。分析表明,如何进一步提高系统控制性能和智能化程度,实现快速随动和精确打击将成为炮控系统研究的重要课题。最后,以其为研究主线提出并探讨了高精度无间隙传动技术,软开关功率变换技术,系统控制策略与智能化等技术途径,为炮控系统论证分析、研制设计以及改造升级等研究提供理论借鉴和技术参考。
MA X J , YUAN D , ZANG K M , et al. Research on situation and development of digital all-electrical gun control system of tank [J ] . Acta Armamentarii , 2012 , 33 ( 1 ): 69 - 76 . (in Chinese)
朱志昆 , 马晓军 , 李长兵 , 等 . 坦克全电式炮控系统低速分析和控制 [J ] . 兵工学报 , 2011 , 32 ( 8 ): 1014 - 1018 . 针对坦克全电式炮控系统中存在的非线性摩擦力矩,采用状态变量法和分段线性法分析了其对坦克全电式炮控系统低速性能的影响。结合分析结果,设计了负载观测器,对系统的负载变化进行观测计算,并将观测值引入电流调节器,以补偿由于负载变化对系统造成的影响。仿真和实验表明采用负载观测器能有效减少“爬行”现象,提高系统的低速平稳性能。为改善坦克全电式炮控系统低速性能提供一种可行的设计方案。针对坦克全电式炮控系统中存在的非线性摩擦力矩,采用状态变量法和分段线性法分析了其对坦克全电式炮控系统低速性能的影响。结合分析结果,设计了负载观测器,对系统的负载变化进行观测计算,并将观测值引入电流调节器,以补偿由于负载变化对系统造成的影响。仿真和实验表明采用负载观测器能有效减少“爬行”现象,提高系统的低速平稳性能。为改善坦克全电式炮控系统低速性能提供一种可行的设计方案。
ZHU Z K , MA X J , LI C B , et al. The analysis and control of low speed of all-electric tank gun control system [J ] . Acta Armamentarii , 2011 , 32 ( 8 ): 1014 - 1018 . (in Chinese)
臧克茂 , 马晓军 , 李长兵 . 现代坦克炮控系统 [M ] . 北京 : 国防工业出版社 , 2007 .
ZANG K M , MA X J , LI C B . Modern tank gun control system [M ] . Beijing : National Defence Industry Press , 2007 . (in Chinese)
MA Y Z , YANG G L , SUN Q Q , et al. Adaptive robust control for tank stability: a constraint-following approach [J ] . Proceedings of the Institution of Mechanical Engineers, Part Ⅰ: Journal of Systems and Control Engineering , 2020 , 235 ( 4 ): 095965182093784 .
YUAN S S , DENG W X , GE Y W , et al. Nonlinear adaptive robust precision pointing control of tank servo systems [J ] . IEEE Access , 2021 , 9 : 23385 - 23397 . DOI: 10.1109/ACCESS.2021.3054178 http://doi.org/10.1109/ACCESS.2021.3054178 https://ieeexplore.ieee.org/document/9334984/ https://ieeexplore.ieee.org/document/9334984/
CHEN Y , YANG G L , SUN Q Z . Dynamic simulation on vibration control of marching tank gun based on adaptive robust control [J ] . Journal of Low Frequency Noise Vibration and Active Control , 2019 , 39 : 416 - 434 . DOI: 10.1177/1461348419846685 http://doi.org/10.1177/1461348419846685 http://journals.sagepub.com/doi/10.1177/1461348419846685 http://journals.sagepub.com/doi/10.1177/1461348419846685
CHEN Y , YANG G L . Dynamic simulation of tank stabilizer based on adaptive control [J ] . Archive Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science , 2018 , 233 ( 9 ): 3038 - 3049 .
马毓泽 , 杨国来 . 坦克行进间垂向稳定器机电液系统的建模与仿真 [J ] . 弹道学报 , 2019 , 31 ( 1 ): 23 - 28 .
MA Y Z , YANG G L . Modeling and simulation of mechanical electro-hydraulic system of vertical stabilizer for a moving tank [J ] . Journal of Ballistics , 2019 , 31 ( 1 ): 23 - 28 . (in Chinese)
胡继辉 , 侯远龙 , 高强 , 等 . 坦克炮控系统神经网络自适应滑模控制方法 [J ] . 火力与指挥控制 , 2018 , 43 ( 6 ): 118 - 121 ,126.
HU J H , HOU Y L , GAO Q , et al. Method of neural network adaptive sliding mode control of gun control system of tank [J ] . Fire Control & Command Control , 2018 , 43 ( 6 ): 118 - 121 ,126. (in Chinese)
高强 , 侯润民 , 杨国来 , 等 . 基于分数阶神经滑模的某顶置火炮调炮控制 [J ] . 兵工学报 , 2013 , 34 ( 10 ): 1311 - 1317 . DOI: 10. 3969/ j. issn. 1000-1093. 2013. 10. 018 http://doi.org/10. 3969/ j. issn. 1000-1093. 2013. 10. 018 针对某顶置火炮高低向调炮控制系统存在的强非线性特征,提出了一种分数阶神经网 络滑模控制(FNSMC)策略。引入分数阶微积分(FOC),设计了分数阶PID 型滑模面,获得了用于 火炮控制的具有分数阶动力学特征的等效控制量。采用饱和函数作为切换函数,基于RBF 神经网 络对其切换增℃进行在线动态调节,以获得动态最优性能。通过数值仿真分析比较了引入FOC 后 滑模控制系统的动静态特性,结果表明:分数阶滑模控制(FSMC)系统能够更为快速平滑的趋近稳 态,这将有效抑制抖振现象,减小控制系统响应时间。半实物仿真试验结果表明:所提出的FNSMC 策略明显优于传统整数阶神经网络滑模控制( CNSMC),具有更强的鲁棒性及更高的控制精度,可 以很好实现预期的快速、平稳和高精度调炮。
GAO Q , HOU R M , YANG G L , et al. Adjustment and control of a certain top-mounted gun based on a novel fractional order neural sliding mode strategy [J ] . Acta Armamentarii , 2013 , 34 ( 10 ): 1311 - 1317 . (in Chinese) DOI: 10. 3969/ j. issn. 1000-1093. 2013. 10. 018 http://doi.org/10. 3969/ j. issn. 1000-1093. 2013. 10. 018 A novel fractional order neural sliding mode control (FNSMC) strategy is proposed for the nonlinearities of a gun control system (GCS) which is used to control the elevation of a certain topmounted gun. A fractional order PID type sliding surface is especially designed by introducing the fractional order calculus, and an equivalent control discipline with fractional order dynamics is induced. The saturation function is employed as switch function. To achieve the best control performances, a dynamic adjustment approach of the switch gain is introduced based on RBF neural network. The dynamic and static characteristics of the fractional order sliding mode control (FSMC) system are analyzed by numerical simulation, demonstrating that FSMC can reach up to the steady state more smoothly, which significantly suppresses the chatter effects and enhances the response rate of the control system. Finally, a series of experiments on a semi-physics simulation platform are conducted to investigate the performances of control system. The results show that the proposed FNSMC is of more excellence than the conventional integer order neural SMC(CNSMC). The FNSMC-based control system is of better tracking accuracy as well as high robustness, and the fast, smooth and accurate adjustments of the gun can be achieved.
袁东 , 马晓军 , 魏曙光 , 等 . 坦克炮控系统直传式驱动及其死区补偿控制 [J ] . 电机与控制学报 , 2016 , 20 ( 5 ): 111 - 118 .
YUAN D , MA X J , WEI S G , et al. Direct-transmission drive and dead time compensation control of tank gun control system [J ] . Electric Machines and Control , 2016 , 20 ( 5 ): 111 - 118 . (in Chinese)
YANG Q Y , YAN Q Z , CAI J P , et al. Neural network-based error-tracking iterative learning control for tank gun control systems with arbitrary initial states [J ] . IEEE Access , 2020 , 8 : 72179 - 72187 . (in Chinese) DOI: 10.1109/ACCESS.2020.2987976 http://doi.org/10.1109/ACCESS.2020.2987976 https://ieeexplore.ieee.org/document/9066951/ https://ieeexplore.ieee.org/document/9066951/
叶镭 , 夏元清 , 付梦印 , 等 . 无人炮塔炮控系统自抗扰控制 [J ] . 控制理论与应用 , 2014 , 31 ( 11 ): 1580 - 1588 .
YE L , XIA Y Q , FU M Y , et al. Active disturbance rejection control for gun control sysyem of unmanned turret . Control Theory and Applications , 2014 , 31 ( 11 ): 1580 - 1588 . (in Chinese)
田建辉 , 钱林方 , 赵瑞学 . 火力线跟踪与瞄准的鲁棒控制 [J ] . 火炮发射与控制学报 , 2011 , 3 ( 1 ): 61 - 64 .
TIAN J H , QIAN L F , ZHAO R X . Robust control of the axis of firepower pointing system [J ] . Journal of Gun Launch and Control , 2011 , 3 ( 1 ): 61 - 64 . (in Chinese)
YUAN S S , YAO J Y , DENG W X , et al. Active disturbance rejection adaptive control of tank turret-gun control systems [C ] //Proceedings of the 39th Chinese Control Conference . Shenyang, China : IEEE , 2020 : 333 - 339 .
MA X , DENG W X , YUAN S S , et al. Neural network based adaptive rise control of tank gun systems [J ] . Journal of Physics Conference Series , 2020 , 1507 : 052001 . DOI: 10.1088/1742-6596/1507/5/052001 http://doi.org/10.1088/1742-6596/1507/5/052001 https://doi.org/10.1088/1742-6596/1507/5/052001 https://doi.org/10.1088/1742-6596/1507/5/052001
许大浦 . 炮控数字PID设计分析 [J ] . 兵工学报(坦克装甲车与发动机分册) , 1997 ( 1 ): 34 - 40 .
XU D P . Design and analysis of gun control digital PID [J ] . Acta Armamentarii , 1997 ( 1 ): 34 - 40 . (in Chinese)
张原 , 张永祥 , 陈赟 . 基于模糊PID控制的火炮随动系统 [J ] . 科学技术与工程 , 2012 , 12 ( 19 ): 4630 - 4633 .
ZHANG Y , ZHANG Y X , CHEN Y . Artillety servo system based on fuzzy-PID control . Science Technology and Engineering , 2012 , 12 ( 19 ): 4630 - 4633 . (in Chinese)
GAO Q , CHEN J L , WANG L , et al. Multiobjective optimization design of a fractional order PID controller for a gun control system [J ] . The Scientific World Journal , 2013 ( 1 ): 907256 - 907256 .
王薇 , 罗云霞 , 蔡建平 . 执行机构饱和下的坦克炮控伺服系统自适应控制研究 [J ] . 数学的实践与认识 , 2018 , 48 ( 11 ): 190 - 194 .
WANG W , LUO Y X , CAI J P . Adaptive control for gun control servo system of tank with saturation input . Mathematics in Practice and Theory , 2018 , 48 ( 11 ): 190 - 194 . (in Chinese)
蔡建平 , 沈陆娟 . 坦克炮控伺服系统未知摩擦的自适应补偿控制 [J ] . 火力与指挥控制 , 2013 , 38 ( 4 ): 64 - 68 .
CAI J P , SHEN L J . Adaptive compensation of unknown friction for gun control servo system of tank [J ] . Fire Control & Command Control , 2013 , 38 ( 4 ): 64 - 68 . (in Chinese)
WANG Z F , YANG G L , WANG X Y , et al. Adaptive robust control for triple avoidance-striking-arrival performance of uncertain tank mechanical systems [J ] . Defence Techology , 2022 , 18 ( 8 ): 1483 - 1497 .
TATLICIOGLU E . Adaptive control of non-linear teleoperator systems in the presence of additive input and output disturbances [J ] . International Journal of Robotics & Automation , 2010 , 25 ( 1 ): 17 - 25 .
YAO J Y , JIAO Z X , MA D W , et al. High-accuracy tracking control of hydraulic rotary actuators with modelling uncertainties . IEEE/ASME Trans Mechatron 2014 , 19 ( 2 ): 633 - 641 . DOI: 10.1109/TMECH.2013.2252360 http://doi.org/10.1109/TMECH.2013.2252360 http://ieeexplore.ieee.org/document/6490408/ http://ieeexplore.ieee.org/document/6490408/
XU Y M , MOHSENI K . Bioinspired hydrodynamic force feedforward for autonomous underwater vehicle control [J ] . IEEE/ASME Transactions on Mechatronics , 2014 , 19 ( 4 ): 1127 - 1137 . DOI: 10.1109/TMECH.2013.2271037 http://doi.org/10.1109/TMECH.2013.2271037 http://ieeexplore.ieee.org/document/6558838/ http://ieeexplore.ieee.org/document/6558838/
CUI L L , ZHANG H G , CHEN B , et al. Asymptotic tracking control scheme for mechanical systems with external disturbances and friction [J ] . Neurocomputing , 2010 , 73 ( 7/8/9 ): 1293 - 1302 . DOI: 10.1016/j.neucom.2009.12.018 http://doi.org/10.1016/j.neucom.2009.12.018 https://linkinghub.elsevier.com/retrieve/pii/S092523121000010X https://linkinghub.elsevier.com/retrieve/pii/S092523121000010X
SPONG M W , VIDYASAGAR M . Robot dynamics and control [M ] . NJ, US : John Wiley & Sons , 2008 .
SUN H , ZHAO H , HUANG K , et al. A fuzzy approach for optimal robust control design of an automotive electronic throttle system . IEEE Transactions on Fuzzy Systems , 2017 , 26 ( 2 ): 694 - 704 . DOI: 10.1109/TFUZZ.2017.2688343 http://doi.org/10.1109/TFUZZ.2017.2688343 https://ieeexplore.ieee.org/document/7888470/ https://ieeexplore.ieee.org/document/7888470/
LIU Y G , GAO X H , YANG X W . Research of control strategy in the large electric cylinder position servo system . Mathematical Problems in Engineering , 2015 , 2015 : 167628 .
EGARDT B . Stability of adaptive controllers [M ] . Berlin, Germany : Springer-Verlag , 1979 .
YAO J Y , JIAO Z X , MA D W . Extended-state-observer-based output feedback nonlinear robust control of hydraulic systems with backstepping [J ] . IEEE Transactions on Industrial Electronics , 2014 , 61 ( 11 ): 6285 - 6293 . DOI: 10.1109/TIE.2014.2304912 http://doi.org/10.1109/TIE.2014.2304912 http://ieeexplore.ieee.org/document/6733341/ http://ieeexplore.ieee.org/document/6733341/
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