This invention relates to control of robots.
Robots are multi-body systems whose dynamics is nonlinear and highly coupled. Robotic control is most frequently accomplished with a position control system. This position control is realized at the joint level, where each joint is treated independently and coupled dynamic effects between joints are ignored. A typical position controller at each joint is implemented using PID control with high gains. Since this position controller cannot account for the dynamics of the system, the dynamic coupling effects are treated as a disturbance. This limits the performance that can be achieved by the system in the case of high speed precise trajectory tracking and compliant motion.
One approach for addressing this problem is to provide a torque controlled robot. The input torques for this system can be designed to accomplish the robot desired task as well as to compensate for nonlinear dynamic coupling of the system. This provides the robot with higher performance in position tracking as well as in compliant motion. Although torque controlled robots are preferred to achieve high performance control, most robots have embedded position control.
Since providing direct torque control for robots tends to be difficult, methods to improve the performance of position controlled robots have been investigated. For example, U.S. Pat. No. 5,834,917 considers a robot having a disturbance detector which detects a disturbance torque, where the disturbance torque is used to correct a position input. U.S. Pat. No. 5,742,138 considers a method for “floating” a robot by compensating for static external forces (e.g., gravity). Improved control of a position controlled robot is also considered in US 2004/0128030.
It would be an advance in the art to provide improved control of position controlled robots to more closely approach the desirable performance provided by closed loop control of both position and torque. In particular, it would be an advance to provide dynamic (i.e., time varying) torque control of a position-controlled robot.
Torque control capability is provided to a position controlled robot by calculating joint position inputs from transformation of the desired joint torques. This is based on calculating the transfer function 1/E(s), which relates the desired joint torque to joint position. Here E(s) is a servo transfer function D(s) or an effective servo transfer function D*(s). The use of an effective servo transfer function D*s) is helpful in cases where joint nonlinearities are significant. The effective servo transfer function D*(s) is defined with respect to an ideal joint transfer function G*(s)=1/(Ieffs2+beffs), where Ieff is an effective moment of inertia and beff is an effective damping coefficient.
a–b show measured results from a second example of the invention.
The full dynamics of the joint (i.e., G) is given by:
where Ieff is the effective moment of inertia seen at the joint output and beff is the effective linear friction coefficient at the joint output. These effective values combine the properties of both the motor and the link and gear ratio and are calculated by using the mechanical properties of the system. The n (Qout, dQout/dt) term captures the nonlinear effects that may be present in the joint dynamics.
The relationship between the commanded input position Qin and resulting position Qout in the feedback controller of
In cases where nonlinear effects at the joint are negligible, it is sufficient, in terms of model accuracy, to represent D and G as linear transfer functions D(s) and G(s). The input joint torque command τs(s) is then given by
τs(s)=D(s)(Qin(s)−Qout(s))=D(s)Qin(s)(1−T(s)). (2)
From Eq. 2, we can determine the position input Qin(s) corresponding to a desired dynamic torque τdes(s) as follows:
Eq. 3 provides one of the key results of the invention, since it shows how a dynamic position input Qin(s) corresponds to a desired dynamic torque τdes(S) for a position controlled robot. Here and throughout this description, “dynamic” means time-varying, and specifically excludes the static case where a torque substantially has a constant value independent of time. Dynamic torques in this sense can arise from a force (e.g., gravity) acting on a moving object (e.g., moving robot parts).
In cases where nonlinear effects cannot be neglected, the torque to position transformation is provided according to another embodiment of the invention. Because of the nonlinear effects, the effective torque at the joint τeff differs from the torque τs at the output of the controller D. This torque τeff is precisely the torque that we are interested in controlling. In that case, T(s) cannot be computed analytically because of the nonlinear nature of the joint. However, it can be experimentally identified from frequency analysis of the response of the closed loop system.
The torque τeff can be viewed as the torque associated with the linear portion of the dynamic system described in Eq. 1, which can be represented by a transfer function of an ideal system:
Given the identified closed loop transfer function T(s) and the ideal system model G*(s), the effective controller, as illustrated in
D*(s) provides the relationship between the torque τeff and the position error (Qin−Qout):
τeƒƒ=D*(s))Qin=Qout) (6)
In order to produce a desired torque τdes on the joint, the position input Qin is set to:
The transfer function D*(s) provides control of the effective torque of the joint that is controlled by a position based servo-loop.
In general terms, the preceding approaches can be regarded as including the following steps: 1) determining a closed loop position transfer function T(s) of a selected joint of the robot relating a commanded input joint position Qin(s) to an actual joint position Qout(s) via Qout(s)=T(s)Qin(s); 2) selecting a dynamic open loop joint torque to position transfer function H(s) relating to the selected joint; 3) determining a corresponding effective servo transfer function E(s) of the selected joint according to E(s)=T(s)/(H(s)−T(s)H(s)); 4) providing a desired dynamic torque τdes(S) of the selected joint; and 5) determining Qin(s) of the selected joint corresponding to τdes(s) via Qin(s)=τdes(s)/(E(s)(1-T(s)). In this framework, the approach of
Robotic system 60 includes a processor 62 having processor control inputs 68a and 68b. One or more of the processor control inputs are torque inputs relating to torques at one or more selected joints of the robot. In this example, processor control inputs 68b are torque inputs, and are shown with dashed lines. Processor 62 includes a torque to position converter 64 for converting torque inputs 68b to corresponding position-based robot control inputs 18 (e.g., as on
Torque to position conversion according to the invention is based on inversion of a dynamical model of the position controlled robot, as described above in connection with
Torque to position conversion for robot control according to the invention has been experimentally investigated, with good results. For example,
a–b show desired torque (
This application claims the benefit of U.S. provisional application 60/671,405, filed on Apr. 13, 2005, entitled “Torque-Position Transformer for Task Control of Position Controlled Robots”, and hereby incorporated by reference in its entirety.
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Number | Date | Country | |
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20060250101 A1 | Nov 2006 | US |
Number | Date | Country | |
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60671405 | Apr 2005 | US |