peer reviewedThis paper describes an original and robust method to optimize the design of closed-loop mechanisms, especially parallel manipulators. These mechanisms involve non linear assembling constraints. During optimization, the Newton-Raphson algorithm we use to solve these constraints may fail when the Jacobian matrix of the constraints is ill-conditioned and stops the redesign process. To circumvent the difficulty, the technique we propose takes advantage of numerical conditioning to penalize the objective function. Applications to an academic example and parallel robots demonstrate the capabilities of the methodology
Optimal design is an inevitable step for parallel manipulators. The formulated optimal design proble...
Design optimization of multibody systems is usually established by a direct coupling of multibody sy...
In the design optimization of robot manipulators regarding drive train and link geometries the dynam...
This paper describes an original and robust method to optimize the design of closed-loop mechanisms,...
This paper describes an original and robust method to optimize the design of closed-loop mechanisms,...
This paper describes an original and robust method to optimize the design of closed-loop mechanisms,...
peer reviewedApplying optimization techniques in the field of multibody systems (MBS) has become mor...
In order to improve the design of mechanical or mechatronic systems, mathematical optimization techn...
International audienceThe paper proposes an integrated approach to the design optimization of parall...
In this work, we use the Monte Carlo method in conjunction with gradient based optimization algorith...
The use of parallel-kinematics machines (PKM) for manufacturing operations is attractive because of ...
International audienceThis paper addresses the dimensional synthesis of parallel kinematics machines...
The present research focuses on the formulation of a recursive and cohesive design methodology for p...
International audienceThis paper deals with the comparison of planar parallel manipulator architectu...
International audienceThe optimization of parallel kinematic manipulators (PKM) involve several cons...
Optimal design is an inevitable step for parallel manipulators. The formulated optimal design proble...
Design optimization of multibody systems is usually established by a direct coupling of multibody sy...
In the design optimization of robot manipulators regarding drive train and link geometries the dynam...
This paper describes an original and robust method to optimize the design of closed-loop mechanisms,...
This paper describes an original and robust method to optimize the design of closed-loop mechanisms,...
This paper describes an original and robust method to optimize the design of closed-loop mechanisms,...
peer reviewedApplying optimization techniques in the field of multibody systems (MBS) has become mor...
In order to improve the design of mechanical or mechatronic systems, mathematical optimization techn...
International audienceThe paper proposes an integrated approach to the design optimization of parall...
In this work, we use the Monte Carlo method in conjunction with gradient based optimization algorith...
The use of parallel-kinematics machines (PKM) for manufacturing operations is attractive because of ...
International audienceThis paper addresses the dimensional synthesis of parallel kinematics machines...
The present research focuses on the formulation of a recursive and cohesive design methodology for p...
International audienceThis paper deals with the comparison of planar parallel manipulator architectu...
International audienceThe optimization of parallel kinematic manipulators (PKM) involve several cons...
Optimal design is an inevitable step for parallel manipulators. The formulated optimal design proble...
Design optimization of multibody systems is usually established by a direct coupling of multibody sy...
In the design optimization of robot manipulators regarding drive train and link geometries the dynam...