基于滑模控制的两关节机械臂性能优化

Ahmed Bendimrad, Ayoub El Amrani, B. El Amrani
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引用次数: 2

摘要

本文在利用拉格朗日方法建立系统动力学方程的基础上,研究了滑模技术对两关节机械臂角位置的控制,目的是通过作用于滑模技术相关的某些参数来改善系统的性能。仿真结果表明,在被控系统的响应中,滑模控制器参数的优化通常包括在找到这些参数的最优值后,使误差和稳定时间最小化,并消除不必要的抖振现象。仿真验证了优化后的机械臂的鲁棒性,表明其响应与机械臂本体的尺寸、质量以及外加载荷无关。这个答案总是符合速度、稳定时间和误差范围的最佳性能。根据机械臂的参数和所施加的载荷而变化的唯一量是所需的扭矩。这对耦合对这些内部参数和施加负载的变化具有补偿作用,以在与控制器通信这些变化的条件下保持相同的最佳响应。
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Optimization of the Performances of a Two-Joint Robotic Arm using Sliding Mode Control
In this paper, we worked on the control of the angular position of a two-joint robotic arm by the sliding mode technique, after having establishing the dynamic equations of the system by the Lagrange method, with the purpose of improving the performances of the system by acting on certain parameters related to the sliding mode technique. The simulation results show an optimization of the sliding mode controller parameters, generally, in the response of the controlled system, which consists on minimizing error and settling time, and eliminating the unwanted phenomenon of chattering, after finding the optimal values of these parameters. Verification by simulation of the robustness of the optimized robotic arm shows that its response is independent of the dimensions and masses of the bodies of this robotic arm, as well as of the applied load. this answer always corresponds to the best performances of speed, settling time and margin of error. the only quantity that varies according to the parameters of the robotic arm and the applied load is the torque required. This couple has a compensating effect to the change of these internal parameters and of this applied load, to keep the same optimal response on the condition of communicating these changes with the controller.
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来源期刊
CiteScore
2.40
自引率
10.00%
发文量
43
审稿时长
20 weeks
期刊介绍: The IJAME provides the forum for high-quality research communications and addresses all aspects of original experimental information based on theory and their applications. This journal welcomes all contributions from those who wish to report on new developments in automotive and mechanical engineering fields within the following scopes. -Engine/Emission Technology Automobile Body and Safety- Vehicle Dynamics- Automotive Electronics- Alternative Energy- Energy Conversion- Fuels and Lubricants - Combustion and Reacting Flows- New and Renewable Energy Technologies- Automotive Electrical Systems- Automotive Materials- Automotive Transmission- Automotive Pollution and Control- Vehicle Maintenance- Intelligent Vehicle/Transportation Systems- Fuel Cell, Hybrid, Electrical Vehicle and Other Fields of Automotive Engineering- Engineering Management /TQM- Heat and Mass Transfer- Fluid and Thermal Engineering- CAE/FEA/CAD/CFD- Engineering Mechanics- Modeling and Simulation- Metallurgy/ Materials Engineering- Applied Mechanics- Thermodynamics- Agricultural Machinery and Equipment- Mechatronics- Automatic Control- Multidisciplinary design and optimization - Fluid Mechanics and Dynamics- Thermal-Fluids Machinery- Experimental and Computational Mechanics - Measurement and Instrumentation- HVAC- Manufacturing Systems- Materials Processing- Noise and Vibration- Composite and Polymer Materials- Biomechanical Engineering- Fatigue and Fracture Mechanics- Machine Components design- Gas Turbine- Power Plant Engineering- Artificial Intelligent/Neural Network- Robotic Systems- Solar Energy- Powder Metallurgy and Metal Ceramics- Discrete Systems- Non-linear Analysis- Structural Analysis- Tribology- Engineering Materials- Mechanical Systems and Technology- Pneumatic and Hydraulic Systems - Failure Analysis- Any other related topics.
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