The control and stability of manipulators with flexible joints during constrained-motion task execution is investigated. A singular perturbation model that represents the joint flexibility caused by compliance in actu...
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The control and stability of manipulators with flexible joints during constrained-motion task execution is investigated. A singular perturbation model that represents the joint flexibility caused by compliance in actuator drive shafts as well as transmission systems is developed. The concept of composite control is used to formulate a control for the slow and fast subsystem dynamics. The slow subsystem control is comprised of a corrective control which uses the concept of an integral manifold to compensate for flexibility effects, in conjunction with a rigid control law, based on the rigid manipulator constrained dynamic equations of motion. With this control applied to the robotic system, it is demonstrated that the high-frequency flexible modes do not destabilize the system. Results of a numerical simulation of a two-joint manipulator during execution of a constrained-motion task are presented to support the analytic results.< >
A complete dynamic model for a rigid link, n-degree-of-freedom robotic manipulator with an r-axis force-torque sensor during contact with a compliant work environment is developed. A Kinematic model is presented for a...
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A complete dynamic model for a rigid link, n-degree-of-freedom robotic manipulator with an r-axis force-torque sensor during contact with a compliant work environment is developed. A Kinematic model is presented for an r-axis force-torque sensor which treats the sensor as an axis joint, where all r axes intersect at a common point. With the resultant kinematic model, the closed-form equations of motion of the manipulator sensor system are developed using a Lagrangian approach. The work environment is modeled as a mechanical impedance with inertia, damping, and stiffness terms. Using of kinematic transformations between the relevant generalized coordinate frames, the work environment dynamic model and manipulator-sensor dynamics are combined into a single set of equations in first-order vector-matrix form. Finally, for completeness, actuator dynamics are included in the system dynamic model, again with the resultant system dynamics in vector-matrix form. A numerical example of a two-degree-of-freedom robot with a two-axis serves to illustrate the kinematic modeling of a force-torque sensor.< >
The generic properties of robotic manipulator dynamics are investigated during tasks in which the manipulator end effector comes in contact with a compliant work environment. The dynamics of an n-degree-of-freedom rig...
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The generic properties of robotic manipulator dynamics are investigated during tasks in which the manipulator end effector comes in contact with a compliant work environment. The dynamics of an n-degree-of-freedom rigid link manipulator with an r-axis wrist-mounted force-torque sensor is modeled during contact with a work environment that is represented as a mechanical impedance. A local linear model of the robotic system dynamics is derived from this nonlinear model. A system output is defined that corresponds to the generalized forces and positions that are to be controlled during compliant motion. With this local model, it is shown from linear system theory that certain necessary and sufficient conditions must be satisfied for a solution to the compliant motion control problem to exist. Insight into the compliant motion control problem is gained through examination of the conditions imposed on the structure of the manipulator model in order to satisfy the necessary and sufficient conditions. Certain control objectives, which are intuitively known to be attainable, are shown to violate these necessary and sufficient conditions. Explicitly modeling the force-torque sensor dynamics results in a system with a poorly conditioned eigensystem. Well-known methods are used to internally balance the system permitting reliable control system synthesis. Two numerical examples are included to illustrate the concepts discussed.< >
Trajectory control of a robot manipulator when motion is constrained by the environment represents an important class of control problems. We consider the problem of controlling the position and force of a robot manip...
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Trajectory control of a robot manipulator when motion is constrained by the environment represents an important class of control problems. We consider the problem of controlling the position and force of a robot manipulator during contact tasks. Based on a dynamics model developed earlier, both position and contact force are modeled as the state variables of the system. These variables are simultaneously controlled using a nonlinear feedback compensator. Using Lyapnouv's theory, a sufficient condition, which guarantees that the closed loop system remains "practically stable", is presented. The simulation of a two-link planar robot manipulator following a semi-circle surface is given to illustrate the result.
The authors present the design of a direct-drive parts and tooling gripper for use in robotic assembly operations. The gripper design incorporates three-dimensional force vector sensing and both force and position con...
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The authors present the design of a direct-drive parts and tooling gripper for use in robotic assembly operations. The gripper design incorporates three-dimensional force vector sensing and both force and position control with extremely-low-friction, direct linear drives. The authors discuss a state-variable approach to force control and the design technique required for a manipulator to achieve high-performance force control. They demonstrate that stiffness of the contact between the environment and the manipulator must be known and of an optimum range to provide good force control. To verify the techniques, a servo-controlled manipulator with compliant vector force sensing was developed. The manipulator features direct-drive, linear motors and a compliant, vector force sensor. Force resolution was optimized by eliminating friction sources. A compliant vector force sensor provides the known contact stiffness between the manipulator and the workpiece environment. Experimental results show that force sensor stiffness is a key element in force loop control design and that robust force control dynamics is comparable to robust position control loop dynamics.< >
An experimental system that can accurately align and place SMDs (surface mount devices) on a printed circuit board is described. Features of the system are fine positioning and endpoint sensing after an IBM 7576 robot...
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An experimental system that can accurately align and place SMDs (surface mount devices) on a printed circuit board is described. Features of the system are fine positioning and endpoint sensing after an IBM 7576 robot coarsely aligns the SMD to its target. Fine positioning is done using a customer-designed micropositioning device. The endpoint sensor is a single camera vision system that by image analysis determines the alignment error of the SMD to the board. System performance was evaluated by placing SMDs of 100 leads with 25 mil lead spacing on a board. The alignment error is less than 0.5 mil and 0.015 degrees , independent of feeder and board position error or robot repeatability. The average cycle time is less than 10 s.< >
This paper proposes two simple schemes for adaptive control of robot manipulator, to achieve trajectory tracking. The state feedback controller consists of feedforward from the reference position trajectory, feedback ...
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This paper proposes two simple schemes for adaptive control of robot manipulator, to achieve trajectory tracking. The state feedback controller consists of feedforward from the reference position trajectory, feedback from the actual trajectory, and an auxiliary input. The feedforward/feedback controller is different from the state feedback controller in that it consists of feedforward from the reference position, velocity, and acceleration trajectory based on “inverse” dynamics of robot manipulator. The feedforward and feedback gains and the auxiliary input are adapted using adaptive control theory based on Lyapunov's direct method, and using only the local information of the corresponding joint. The proposed control schemes are computationally fast and do not require a priori knowledge of the parameter of the manipulator or the payload. Simulation results are presented in support of the proposed schemes.
An approach to real-time control is presented that involves the adaption of existing (commercial) hardware and the integration of new hardware and software, such that both feedback control and offline programming usin...
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An approach to real-time control is presented that involves the adaption of existing (commercial) hardware and the integration of new hardware and software, such that both feedback control and offline programming using either task or joint-space coordinates are possible. The approach is illustrated in detail through the implementation of a controller that replaces the conventional Victor's assembly language (VAL) II-based controller with the PUMA 560 robot. The controller presents an improvement over the system under VAL in a number of ways, in addition to being able to use either task or joint-space information in the most general form. In particular, the hardware and software of the new controller can accommodate novel sensory systems, robot programming languages, and dynamic models for research and evaluation of advanced control methods.< >
Evaluates a methodology for performance and system economics for robotic devices. Critical factors; Use of the procedure for the selection of robots for any robot implementation.
Evaluates a methodology for performance and system economics for robotic devices. Critical factors; Use of the procedure for the selection of robots for any robot implementation.
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