1. 陕西科技大学电气与控制工程学院,西安,710021
2. 陕西农产品加工技术研究院,西安,710021
: 2022-04-28。作者简介: 李艳(1972—),女,副教授,硕士生导师。基金项目: 国家自然科学基金青年基金资助项目(62003201)
网络首发:2022-12-10,
纸质出版:2022
移动端阅览
李艳, 孙蕊, 夏宇, 等. 采用改进快速变幂次趋近律的滑模控制方法[J]. 西安交通大学学报, 2022,56(12):118-126.
LI Yan, SUN Rui, XIA Yu, et al. A Sliding Mode Control Method with Improved Rapid Power Approximation Law[J]. 2022, 56(12): 118-126.
李艳, 孙蕊, 夏宇, 等. 采用改进快速变幂次趋近律的滑模控制方法[J]. 西安交通大学学报, 2022,56(12):118-126. DOI: 10.7652/xjtuxb202212012.
LI Yan, SUN Rui, XIA Yu, et al. A Sliding Mode Control Method with Improved Rapid Power Approximation Law[J]. 2022, 56(12): 118-126. DOI: 10.7652/xjtuxb202212012.
针对基于传统幂次趋近律的滑模控制方法在使用中抖振现象突出、趋近速度慢、时间长等问题
提出一种改进快速变幂次趋近律的滑模控制方法。首先
采用快速双幂次趋近律并加以改进
在原快速双幂次趋近律的基础上加入变指数项
使系统状态在不同趋近阶段中针对性地调节速度
大大地提高了系统动态响应过程的趋近速度
限制了抖振现象的产生
同时具有有限时间收敛性。对改进后的快速变幂次趋近律的数值分析结果表明:当系统状态的绝对值小于1时
系统相当于快速幂次趋近律
系统可平滑进入滑模段
消除抖振; 当系统状态的绝对值大于等于1时
又相当于快速双幂次趋近律
系统的动态响应速度有所提高
趋近时间缩短。然后
将改进的快速变幂次趋近律用于滑模控制中
构成改进快速变幂次趋近律的滑模控制方法。采用所提滑模控制方法对履带机器人轨迹进行跟踪控制
实验结果表明:与几种基于传统的幂次趋近律控制方法相比
所提控制系统在趋近平衡零点时几乎无抖振现象的产生
具备更优的性能
且收敛时间最短
最短时间仅为其他方法的69.4%。
As sliding mode control methods based on the traditional power approximation law have many problems such as prominent jitter
slow speed and long time
a sliding mode control method with improved rapid power approximation law is proposed. First
the rapid double power approximation law is adopted and improved
and the variable exponential term is added on the basis of the original rapid double power approximation law
so that the system state adjusts the speed in different approximation stages
which greatly improves the approximation speed of the dynamic response process of the system
limits the generation of jitter phenomenon
and has finite time convergence. The numerical analysis of the improved rapid power approximation law shows that when the absolute value of the system state is less than 1
the system is equivalent to the rapid power approximation law
and the system can smoothly enter the sliding mode segment and eliminate jitter. When the absolute value of the system state is not less than 1
it is equivalent to the rapid double power approximation law
and the dynamic response speed of the system is improved
and the approximation time is shortened. Then
the improved rapid power approximation law is used in sliding mode control to constitute the proposed method. The experimental results show that compared with several control methods based on traditional power approximation law
the proposed control system has almost no jitter phenomenon when approaching the zero point of equilibrium
and has better performance and the shortest convergence time-only 69.4% of other methods.
LIN C J, SIE T Y, CHU Wenlin, et al. Tracking control of pneumatic artificial muscle-activated robot arm based on sliding-mode control [J]. Actuators, 2021, 10(3): 66.
冯旭刚, 鲍立昌, 章家岩, 等. 热风炉拱顶温度模糊自适应滑模控制策略 [J]. 西安交通大学学报, 2021, 55(6): 150-157.
FENG Xugang, BAO Lichang, ZHANG Jiayan, et al. Fuzzy adaptive sliding mode control strategy for vault temperature of hot blast stove [J]. Journal of Xi'an Jiaotong University, 2021, 55(6): 150-157.
XIAO Lingfei, MA Leiming, HUANG Xinhao. Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer [J]. Frontiers of Information Technology Electronic Engineering, 2022, 23(2): 328-338.
KUMAR S, AJMERI M. Optimal variable structure control with sliding modes for unstable processes [J]. Journal of Central South University, 2021, 28(10): 3147-3158.
ZAKARYA O, KHALID H, WANG Xingsong, et al. Delay compensation observer with sliding mode controller for rotary electro-hydraulic servo system [J]. Transactions of Nanjing University of Aeronautics Astronautics, 2021, 38(S1): 49-56.
DI Fuqiang, LI Aijun, GUO Yong, et al. Event-triggered sliding mode attitude coordinated control for spacecraft formation flying system with disturbances [J]. Acta Astronautica, 2021, 188: 121-129.
MA Zhiqiang, HUANG Panfeng, KUANG Zhian. Fuzzy approximate learning-based sliding mode control for deploying tethered space robot [J]. IEEE Transactions on Fuzzy Systems, 2021, 29(9): 2739-2749.
YUAN Lin, LI Jinna. Consensus of discrete-time nonlinear multiagent systems using sliding mode control based on optimal control [J]. IEEE Access, 2022, 10: 47275-47283.
SHARMA A K, BHUSHAN B. Comparison of various fuzzy sliding mode based controller on single link inverted pendulum [J]. Journal of Intelligent Fuzzy Systems, 2022, 42(2): 679-688.
赵峰, 罗雯, 高锋阳, 等. 考虑滑模抖振和扰动补偿的永磁同步电机改进滑模控制 [J]. 西安交通大学学报, 2020, 54(6): 28-35.
ZHAO Feng, LUO Wen, GAO Fengyang, et al. An improved sliding mode control for pmsm considering sliding mode chattering and disturbance compensation [J]. Journal of Xi'an Jiaotong University, 2020, 54(6): 28-35.
JIANG Junfeng, ZHOU Xiaojun, ZHAO Wei, et al. A fast integral sliding mode controller with an extended state observer for position control of permanent magnet synchronous motor servo systems [J]. Frontiers of Information Technology Electronic Engineering, 2020, 21(8): 1239-1250.
LATOSIAN'USKI P, BARTOSZEWICZ A. Zero-width quasi-sliding mode band in the presence of non-matched uncertainties [J]. Energies, 2021, 14(11): 3011.
DONG Chencheng, YU Zhangguo, CHEN Xuechao, et al. Adaptability control towards complex ground based on fuzzy logic for humanoid robots [J]. IEEE Transactions on Fuzzy Systems, 2022, 30(6): 1574-1584.
SABELHAUS A P, ZHAO Huajing, ZHU E L, et al. Model-predictive control with inverse statics optimization for tensegrity spine robots [J]. IEEE Transactions on Control Systems Technology, 2021, 29(1): 263-277.
GUO Jianping. Application of a novel adaptive sliding mode control method to the load frequency control [J]. European Journal of Control, 2021, 57: 172-178.
CHEN Xigang, LI Yangmin, MA Haifeng, et al. A novel variable exponential discrete time sliding mode reaching law [J]. IEEE Transactions on Circuits and Systems: Express Briefs, 2021, 68(7): 2518-2522.
高为炳. 变结构控制的理论及设计方法 [M]. 北京: 科学出版社, 1996: 241-254.
林洪振, 李彦明, 袁正华, 等. 水田植保机自主作业滑模抗干扰路径跟踪方法 [J]. 农业机械学报, 2021, 52(9): 383-388.
LIN Hongzhen, LI Yanming, YUAN Zhenghua, et al. Sliding mode anti-interference path tracking method for autonomous operation of paddy field plant protection machine [J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(9): 383-388.
张国山, 李现磊. 一种滑模控制新型幂次趋近律的设计与分析 [J]. 天津大学学报(自然科学与工程技术版), 2020, 53(11): 1112-1119.
ZHANG Guoshan, LI Xianlei. Design and analysis of a new power reaching law for sliding mode control [J]. Journal of Tianjin University(Science and Technology), 2020, 53(11): 1112-1119.
陈闯, 王勃, 于泳, 等. 基于改进指数趋近律的感应电机滑模转速观测器研究 [J]. 电工技术学报, 2020, 35(z1): 155-163.
CHEN Chuang, WANG Bo, YU Yong, et al. An improved exponential reaching law based-sliding mode observer for speed-sensorless induction motor drives [J]. Transactions of China Electrotechnical Society, 2020, 35(z1): 155-163.
廖瑛, 杨雅君, 王勇. 滑模控制的新型双幂次组合函数趋近律 [J]. 国防科技大学学报, 2017, 39(3): 105-110.
LIAO Ying, YANG Yajun, WANG Yong. Novel double power combination function reaching law for sliding mode control [J]. Journal of National University of Defense Technology, 2017, 39(3): 105-110.
PAN Jian, LI Wei, ZHANG Haipeng. Control algorithms of magnetic suspension systems based on the improved double exponential reaching law of sliding mode control [J]. International Journal of Control Automation and Systems, 2018, 16(6): 2878-2887.
杨新岩, 廖育荣, 倪淑燕. 滑模控制快速分段幂次趋近律设计与分析 [J]. 系统工程与电子技术, 2019, 41(5): 1127-1132.
YANG Xinyan, LIAO Yurong, NI Shuyan. Rapid piecewise power reaching law of sliding mode control design and analysis [J]. Systems Engineering and Electronics, 2019, 41(5): 1127-1132.
ROHITH G. Fractional power rate reaching law for augmented sliding mode performance [J]. Journal of the Franklin Institute, 2021, 358(1): 856-876.
ZHANG Yanqing, YIN Zhonggang, ZHANG Yanping, et al. A novel sliding mode observer with optimized constant rate reaching law for sensorless control of induction motor [J]. IEEE Transactions on Industrial Electronics, 2020, 67(7): 5867-5878.
BHAT S P, BERNSTEIN D S. Continuous finite-time stabilization of the translational and rotational double integrators [J]. IEEE Transactions on Automatic Control, 1998, 43(5): 678-682.
0
浏览量
6
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621