Abstract:Abstract-In robot design, how to allocate tolerances for parts in manufacturing and assembling of robot is very important because this directly affects product quality and manufacturing cost. This paper introduces a technique using the Generalized Reduced Gradient algorithm optimization to allocate tolerances into robot parts. This method consists of three steps. First, based on the particular structure of robot, various methods are considered before the best method suitable for modeling the associated equatio… Show more
“…A local uniqueness hypothesis for reliably obtaining pose error upper limits using nonlinear optimisation was proposed in [20]. Trang et al [21] introduced a technique using the generalised reduced gradient algorithm optimisation to allocate tolerances into robot parts. By using the Denavit-Hartenberg (DH) rule for modelling the kinematic problem in that study, a mathematical model for tolerance allocation was developed and used in the nonlinear multivariable optimisation problem.…”
Robotic systems require high accuracy in manipulating objects. Positioning errors are influenced by geometric tolerances and various sources. This paper introduces a new technique based on the interior-point algorithm optimisation method to allocate tolerances to the geometric parameters of a robot. This method consists of three steps. First, a method for modelling the kinematic problem as well as the geometric errors must be used. The Denavit–Hartenberg rule is the most suitable method for this modelling case. Then, a mathematical model for tolerance allocation is developed and used as a nonlinear multivariable optimisation problem. Finally, the “interior-point” algorithm is used to solve this optimisation problem. The accuracy and efficiency of the proposed method, in determining the tolerance allocations for a Delta parallel robot, is illustrated via calculation and simulation results. The values of the dimensional tolerances found are optimal. As a result, these values always keep the accuracy less than or equal to the imposed value.
“…A local uniqueness hypothesis for reliably obtaining pose error upper limits using nonlinear optimisation was proposed in [20]. Trang et al [21] introduced a technique using the generalised reduced gradient algorithm optimisation to allocate tolerances into robot parts. By using the Denavit-Hartenberg (DH) rule for modelling the kinematic problem in that study, a mathematical model for tolerance allocation was developed and used in the nonlinear multivariable optimisation problem.…”
Robotic systems require high accuracy in manipulating objects. Positioning errors are influenced by geometric tolerances and various sources. This paper introduces a new technique based on the interior-point algorithm optimisation method to allocate tolerances to the geometric parameters of a robot. This method consists of three steps. First, a method for modelling the kinematic problem as well as the geometric errors must be used. The Denavit–Hartenberg rule is the most suitable method for this modelling case. Then, a mathematical model for tolerance allocation is developed and used as a nonlinear multivariable optimisation problem. Finally, the “interior-point” algorithm is used to solve this optimisation problem. The accuracy and efficiency of the proposed method, in determining the tolerance allocations for a Delta parallel robot, is illustrated via calculation and simulation results. The values of the dimensional tolerances found are optimal. As a result, these values always keep the accuracy less than or equal to the imposed value.
“…Investigation of mechanical error in closed chain four-bar mechanism under the effects of link tolerance is presented by author wherein geometrical approach is utilized. 32…”
Section: Introductionmentioning
confidence: 99%
“…The prominent amongst them are joint clearances, backlash, design tolerance and assembly error. 2,[22][23][24][25][26][27][28][29][30][31][32][33][34] Analysis of joint clearances is modelled in multi-loop mechanisms and is presented by Ming-June Tsai et al 22 The effect of geometric error on positioning precision is studied by Henrique et al 23 A general method to solve effect of uncertainty due to manufacturing and assembly error as design problem is suggested. Further, the uncertainty due to joint clearance is modelled and analysed for the planar and spatial robots and is presented by Zhu et al 24 The error modelling of inherent uncertainties of a planar 3-RRR parallel manipulator like manufacturing tolerances, input errors and joint clearances along with validation of model is proposed by Zhan Zhenhui et al 25 to solve a motion reliability problem.…”
Section: Introductionmentioning
confidence: 99%
“…A three-step methodology for dimensional tolerance synthesis of a 2-DoF and a 3-DoF parallel manipulator is presented by Goldsztejn et al 29 A novel approach for kinematic reliability analysis of planar parallel manipulators based on error propagation on plane motion groups and clipped Gaussian in terms of joint clearance, input uncertainty and manufacturing imperfection is proposed by Zhao et al 30 The modelling of link tolerances as source of mechanical error is presented in literature. 31,32 Amongst these, the link tolerances being inevitable and is measurable at assembly stage, the resulting pose errors are possible to estimate. The manipulators are possible to design to overcome these error by proper tolerance design, and by correction through drive input.…”
Section: Introductionmentioning
confidence: 99%
“…Investigation of mechanical error in closed chain four-bar mechanism under the effects of link tolerance is presented by author wherein geometrical approach is utilized. 32 The tolerance being unavoidable, the extent of deviations needed to be studied. In this paper, the workspace is investigated by taking different parameters and uncertainty in the manipulator.…”
Parallel manipulators are playing a significant role in robotic applications for the last few decades due to their merits over the serial manipulators. In this paper, kinematic analysis for the 3-RPR planar parallel manipulator having three degrees of freedom through a simple geometric approach is presented. The aim of the study presented here consist of two parts: improving the reachable workspace and investigating the positional error at platform due to link tolerance. The reachable workspace is estimated at various magnification ratios of manipulator at different position and orientation of tool point. The geometric approach is applied to calculate the workspace. The validation of kinematic results is carried out through the Computer-Aided Drafting (CAD) model. The positional error at platform and deviation in workspace due to tolerance on the link length are studied. The link tolerance results due to manufacturing and assembly constraints. The positional error for variation in link tolerance is presented. The proposed method is capable of quantification of maximum reachable workspace as well as worst error for the given tolerance value. The manipulator with highest possible accuracy over largest workspace area can be obtained applying proposed method as an optimized design.
This paper introduces a methodology for controlling parallel robots in case they are used as a kind of specialized fixture to expand the technological capabilities of machines. The parallel robot is mounted on the workbench to extend the number of degrees of freedom. However, there are always measurable kinematic errors of the workbench which will be eliminated by the robot’s motion. The actual working motion of the robot is then still performed by its active joints. Therefore, the displacement of each movable joint is now decided by two sources, one is due to the error compensation motion of the workbench, the other is the required work movement. According to the superposition principle, these two motions are combined into a single displacement characteristic curve to control the robot. The base exchange technique to determine the error compensation motion of the workbench, the technique of solving the inverse kinematics problem by the generalized reduced gradient (GRG) method, and the principle of joint motion combination are then introduced in detail in the paper. Finally, an example with the hexapod is presented. The obtained results, which use the robot itself to generate error-compensated movements of the workbench by means of the base exchange technique, will open up the possibility of intervening in hybrid machine systems to ensure the desired forming accuracy without no hardware intervention required.
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