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Báo cáo nghiên cứu khoa học: USING ADAPTIVE CONTROL TO SOLVE THE TRACKING PROBLEM FOR A MOBILE MANIPULATOR
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Trong bài báo này, sự kiểm soát của một tay máy điện thoại di động để theo dõi quỹ đạo hàn 3Dcurved mịn được thảo luận. Trường hợp này có thể được tìm thấy trong bất kỳ nhà máy chế biến kim loại, chẳng hạn như nhà máy đóng tàu và tiền chế nhà máy kết cấu kim loại.
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Báo cáo nghiên cứu khoa học: "USING ADAPTIVE CONTROL TO SOLVE THE TRACKING PROBLEM FOR A MOBILE MANIPULATOR" TẠP CHÍ PHÁT TRIỂN KH&CN, TẬP 11, SỐ 03 - 2008 USING ADAPTIVE CONTROL TO SOLVE THE TRACKING PROBLEM FOR A MOBILE MANIPULATOR Tran Thien Phuc University of Technology, VNU-HCM Received on November 01st, 2007, Manuscript Revised March 03rd, 2008) (Manuscript ABSTRACT: In this paper, the control of a mobile manipulator for tracking smooth 3D-curved welding trajectory is discussed. This case can be found in any metal processingfactories such as ship building factories and pre-fabricated metal structure factories. Themobile manipulator is made up of a multilink manipulator and a two-wheeled mobile platform.The kinematic modeling and the constraints for both the platform and the manipulator arediscussed. Based on these modeling, an adaptive control algorithm for the welding mobilemanipulator is proposed. A candidate Lyapunov function is also introduced for proving thestability of system upon the adaptive algorithm. For increasing the flexibility of system, thecontrol of system with unknown parameter such as the arc length of the torch is considered,and an update control law based on the adaptive back-stepping method is proposed. In thispaper, the numerical simulation results are shown to illustrate the validity of the proposedalgorithm. The experiments are also performed for getting the good values of parameters andproving the feasibility that a mobile manipulator is applied to a 3D smooth curve welding task. Keywords: Mobile manipulator, 3D smooth curve welding task, unknown parameter,update control law, adaptive back-stepping method.1. INTRODUCTION Recently, a mobile manipulator has been widely used in various industrial fields such asship building industry, automobile industry, electronic assembling, and pre-fabricated metalstructure industry. Furthermore, it can be applied to works in the hazardous environments suchas waste management and treatment, desolate exploration and even space operation.Especially, the mobile robots are extensively used in industry for resistance and arc-weldingapplications. The mobile manipulator can be used for performing the welding task with highquality. Furthermore, the workers with the aid of the welding robot can perform their taskseven in contaminative environment with smoke and light arc. Nowadays, the application of themobile robot to welding task has been studied by many researchers, such as Bui et al. (2003),Fukao et al. (2000), Jeon et al. (2002), Lefeber et al. (2001), and Lee et al. (2001). Thesemobile robots are focused on horizontal line tracking purpose. To attain the same purpose inthe narrow space, Yoo et al. (2001) used a mobile manipulator, a horizontal multi-linkmanipulator mounted on a platform with two independent driving wheels. Thus, this mobilemanipulator was used only for the horizontal fillet welding paths. In this paper, an adaptive controller is applied to a two-wheeled welding mobilemanipulator to track a smooth 3D-curved welding trajectory. To design a tracking controller,the tracking errors are defined between the welding point on the torch and the reference pointmoving at a specified constant welding speed along the welding trajectory. Both kinematicmodeling of the mobile platform and the manipulator are introduced. Hence, the relationshipbetween the input variables (angular velocities of the wheels of the platform and the links ofthe manipulator) and the output parameter (position and velocity of the end effector) isestablished. In order to increase the flexibility of the system, an adaptive control algorithm Trang 5Science & Technology Development, Vol 11, No.03- 2008based on the back-stepping concept with unknown parameter such as the arc length of torch isproposed. The simulations using MatLab V6.5 and Simulink V5.1 are also performed to showthe effectiveness of the proposed controller. The paper also shows how to get the trackingerrors by the potentiometer and the camera sensor. The experiments are performed for gettingthe practical information. A camera sensor made in Carnegie Mellon University and apotentiometer are used for gathering the feedback signals that are invoked for measure thetracking errors.2. SYSTEM MODELING2.1. Configuration of the Mobile Manipulator The following constraints will be examined for choosing the configuration of the mobilemanipulator. The orientation of the torch should lie on the tangent plane of the weldingtrajectory at the welding point. The orientation of the torch should also be inclined with 45degrees with respect to the interse ...
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Báo cáo nghiên cứu khoa học: "USING ADAPTIVE CONTROL TO SOLVE THE TRACKING PROBLEM FOR A MOBILE MANIPULATOR" TẠP CHÍ PHÁT TRIỂN KH&CN, TẬP 11, SỐ 03 - 2008 USING ADAPTIVE CONTROL TO SOLVE THE TRACKING PROBLEM FOR A MOBILE MANIPULATOR Tran Thien Phuc University of Technology, VNU-HCM Received on November 01st, 2007, Manuscript Revised March 03rd, 2008) (Manuscript ABSTRACT: In this paper, the control of a mobile manipulator for tracking smooth 3D-curved welding trajectory is discussed. This case can be found in any metal processingfactories such as ship building factories and pre-fabricated metal structure factories. Themobile manipulator is made up of a multilink manipulator and a two-wheeled mobile platform.The kinematic modeling and the constraints for both the platform and the manipulator arediscussed. Based on these modeling, an adaptive control algorithm for the welding mobilemanipulator is proposed. A candidate Lyapunov function is also introduced for proving thestability of system upon the adaptive algorithm. For increasing the flexibility of system, thecontrol of system with unknown parameter such as the arc length of the torch is considered,and an update control law based on the adaptive back-stepping method is proposed. In thispaper, the numerical simulation results are shown to illustrate the validity of the proposedalgorithm. The experiments are also performed for getting the good values of parameters andproving the feasibility that a mobile manipulator is applied to a 3D smooth curve welding task. Keywords: Mobile manipulator, 3D smooth curve welding task, unknown parameter,update control law, adaptive back-stepping method.1. INTRODUCTION Recently, a mobile manipulator has been widely used in various industrial fields such asship building industry, automobile industry, electronic assembling, and pre-fabricated metalstructure industry. Furthermore, it can be applied to works in the hazardous environments suchas waste management and treatment, desolate exploration and even space operation.Especially, the mobile robots are extensively used in industry for resistance and arc-weldingapplications. The mobile manipulator can be used for performing the welding task with highquality. Furthermore, the workers with the aid of the welding robot can perform their taskseven in contaminative environment with smoke and light arc. Nowadays, the application of themobile robot to welding task has been studied by many researchers, such as Bui et al. (2003),Fukao et al. (2000), Jeon et al. (2002), Lefeber et al. (2001), and Lee et al. (2001). Thesemobile robots are focused on horizontal line tracking purpose. To attain the same purpose inthe narrow space, Yoo et al. (2001) used a mobile manipulator, a horizontal multi-linkmanipulator mounted on a platform with two independent driving wheels. Thus, this mobilemanipulator was used only for the horizontal fillet welding paths. In this paper, an adaptive controller is applied to a two-wheeled welding mobilemanipulator to track a smooth 3D-curved welding trajectory. To design a tracking controller,the tracking errors are defined between the welding point on the torch and the reference pointmoving at a specified constant welding speed along the welding trajectory. Both kinematicmodeling of the mobile platform and the manipulator are introduced. Hence, the relationshipbetween the input variables (angular velocities of the wheels of the platform and the links ofthe manipulator) and the output parameter (position and velocity of the end effector) isestablished. In order to increase the flexibility of the system, an adaptive control algorithm Trang 5Science & Technology Development, Vol 11, No.03- 2008based on the back-stepping concept with unknown parameter such as the arc length of torch isproposed. The simulations using MatLab V6.5 and Simulink V5.1 are also performed to showthe effectiveness of the proposed controller. The paper also shows how to get the trackingerrors by the potentiometer and the camera sensor. The experiments are performed for gettingthe practical information. A camera sensor made in Carnegie Mellon University and apotentiometer are used for gathering the feedback signals that are invoked for measure thetracking errors.2. SYSTEM MODELING2.1. Configuration of the Mobile Manipulator The following constraints will be examined for choosing the configuration of the mobilemanipulator. The orientation of the torch should lie on the tangent plane of the weldingtrajectory at the welding point. The orientation of the torch should also be inclined with 45degrees with respect to the interse ...
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