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Impedance control

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2350: 1043: 2069: 782: 2345:{\displaystyle {\boldsymbol {\mathcal {F}}}={\boldsymbol {K}}_{\mathrm {x} }({\boldsymbol {x}}_{\mathrm {d} }-{\boldsymbol {x}})+{\boldsymbol {D}}_{\mathrm {x} }({\dot {\boldsymbol {x}}}_{\mathrm {d} }-{\dot {\boldsymbol {x}}})+{\hat {\boldsymbol {\Lambda }}}({\boldsymbol {q}}){\ddot {\boldsymbol {x}}}_{\mathrm {d} }+{\hat {\boldsymbol {\mu }}}({\boldsymbol {q}},{\dot {\boldsymbol {q}}})+{\hat {\boldsymbol {\gamma }}}({\boldsymbol {q}})+{\hat {\boldsymbol {\eta }}}({\boldsymbol {q}},{\dot {\boldsymbol {q}}}),} 100:. It assumes the postulate that "no controller can make the manipulator appear to the environment as anything other than a physical system." This rule of thumb can also be stated as: "in the most common case in which the environment is an admittance (e.g. a mass, possibly kinematically constrained) that relation should be an impedance, a function, possibly nonlinear, dynamic, or even discontinuous, specifying the force produced in response to a motion imposed by the environment." 1857: 1038:{\displaystyle {\boldsymbol {\tau }}={\boldsymbol {K}}({\boldsymbol {q}}_{\mathrm {d} }-{\boldsymbol {q}})+{\boldsymbol {D}}({\dot {\boldsymbol {q}}}_{\mathrm {d} }-{\dot {\boldsymbol {q}}})+{\hat {\boldsymbol {M}}}({\boldsymbol {q}}){\ddot {\boldsymbol {q}}}_{\mathrm {d} }+{\hat {\boldsymbol {c}}}({\boldsymbol {q}},{\dot {\boldsymbol {q}}})+{\hat {\boldsymbol {g}}}({\boldsymbol {q}})+{\hat {\boldsymbol {h}}}({\boldsymbol {q}},{\dot {\boldsymbol {q}}}),} 1455: 581: 2765: 1695: 1273: 423: 24: 2633: 1852:{\displaystyle {\boldsymbol {\mathcal {F}}}={\boldsymbol {\Lambda }}({\boldsymbol {q}}){\ddot {\boldsymbol {x}}}+{\boldsymbol {\mu }}({\boldsymbol {x}},{\dot {\boldsymbol {x}}})+{\boldsymbol {\gamma }}({\boldsymbol {q}})+{\boldsymbol {\eta }}({\boldsymbol {q}},{\dot {\boldsymbol {q}}})+{\boldsymbol {\mathcal {F}}}_{\mathrm {ext} }} 401:
kinematics and inertias of the mechanism, we can orient those axes arbitrarily and in various coordinate systems. For example, we might cause a robotic part holder to be very stiff tangentially to a grinding wheel, while being very compliant (controlling force with little concern for position) in the radial axis of the wheel.
1596: 1450:{\displaystyle {\boldsymbol {K}}({\boldsymbol {q}}_{\mathrm {d} }-{\boldsymbol {q}})+{\boldsymbol {D}}({\dot {\boldsymbol {q}}}_{\mathrm {d} }-{\dot {\boldsymbol {q}}})+{\boldsymbol {M}}({\boldsymbol {q}})({\ddot {\boldsymbol {q}}}_{\mathrm {d} }-{\ddot {\boldsymbol {q}}})={\boldsymbol {\tau }}_{\mathrm {ext} }.} 84:
Mechanical impedance is the ratio of force output to motion input. This is analogous to electrical impedance that is the ratio of voltage output to current input (e.g. resistance is voltage divided by current). A "spring constant" defines the force output for a displacement (extension or compression)
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Impedance control doesn't simply regulate the force or position of a mechanism. Instead it regulates the relationship between force and position on the one hand, and velocity and acceleration on the other hand, i.e. the impedance of the mechanism. It requires a position (velocity or acceleration) as
576:{\displaystyle {\boldsymbol {\tau }}={\boldsymbol {M}}({\boldsymbol {q}}){\ddot {\boldsymbol {q}}}+{\boldsymbol {c}}({\boldsymbol {q}},{\dot {\boldsymbol {q}}})+{\boldsymbol {g}}({\boldsymbol {q}})+{\boldsymbol {h}}({\boldsymbol {q}},{\dot {\boldsymbol {q}}})+{\boldsymbol {\tau }}_{\mathrm {ext} }} 400:
coordinates) and in three orientations (e.g. roll, pitch, yaw). In theory, an impedance controller can cause the mechanism to exhibit a multi-dimensional mechanical impedance. For example, the mechanism might act very stiff along one axis and very compliant along another. By compensating for the
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Mechanical admittance is the inverse of impedance - it defines the motions that result from a force input. If a mechanism applies a force to the environment, the environment will move, or not move, depending on its properties and the force applied. For example, a marble sitting on a table will
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interacts with its environment and the force position relation is of concern. Examples of such applications include humans interacting with robots, where the force produced by the human relates to how fast the robot should move/stop. Simpler control methods, such as position control or torque
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have the dimension of stiffness and damping, they are commonly referred to as stiffness and damping matrix, respectively. Clearly, the controlled robot is essentially a multi-dimensional mechanical impedance (mass-spring-damper) to the environment, which is addressed by
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input and has a resulting force as output. The inverse of impedance is admittance. It imposes position. So actually the controller imposes a spring-mass-damper behavior on the mechanism by maintaining a dynamic relationship between force
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Impedance control is used in applications such as robotics as a general strategy to send commands to a robotics arm and end effector that takes into account the non-linear kinematics and dynamics of the object being manipulated.
2823:) as well. Thus, one can choose desired impedance (mainly stiffness) in the task space. For example, one may want to make the controlled robot act very stiff along one direction while relatively compliant along others by setting 85:
of the spring. A "damping constant" defines the force output for a velocity input. If we control the impedance of a mechanism, we are controlling the force of resistance to external motions that are imposed by the environment.
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Albu-Schäffer, A.; Ott, C.; Hirzinger, G. (2004), "A passivity based Cartesian impedance controller for flexible joint robots - part II: full state feedback, impedance design and experiments.",
359:) is an energy dissipating device. If we can control impedance, we are able to control energy exchange during interaction, i.e. the work being done. So impedance control is interaction control. 2033:
are the generalized force of the Coriolis and centrifugal term, the gravitation, further nonlinear terms, and environmental contacts. Note that this representation only applies to robots with
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The same principle also applies to task space. An uncontrolled robot has the following task-space representation in Lagrangian formulation:
3044: 60: 2787: 1997: 3059: 245:{\displaystyle {\boldsymbol {F}}=M{\boldsymbol {a}}+C{\boldsymbol {v}}+K{\boldsymbol {x}}+{\boldsymbol {f}}+{\boldsymbol {s}}} 81:
control, perform poorly when the manipulator experiences contacts. Thus impedance control is commonly used in these settings.
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Note that mechanical systems are inherently multi-dimensional - a typical robot arm can place an object in three dimensions (
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as the closed-loop system, which is essentially a multi-dimensional mechanical impedance to the environment (
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is an approach to dynamic control relating force and position. It is often used in applications where a
1887: 1865: 1625: 1603: 1118: 1096: 692: 670: 648: 626: 604: 277: 255: 97: 77: 2617:{\displaystyle {\boldsymbol {e}}_{\mathrm {x} }={\boldsymbol {x}}_{\mathrm {d} }-{\boldsymbol {x}}} 3008: 2034: 3105: 3038: 365: 2978: 342: 322: 302: 3137: 3066: 1499:{\displaystyle {\boldsymbol {e}}={\boldsymbol {q}}_{\mathrm {d} }-{\boldsymbol {q}}} 3085:
In Proceedings of the 2004 IEEE International Conference on Robotics and Automation
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assuming the task space is a three-dimensional Euclidean space. The damping matrix
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summarizes all the external forces from the environment. The actuation torque
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includes further torques from, e.g., inherent stiffness, friction, etc., and
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react very differently to a given force than will a log floating in a lake.
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the symmetric and positive-definite task-space inertia matrix. The terms
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An uncontrolled robot can be expressed in Lagrangian formulation as
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The key theory behind the method is to treat the environment as an
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on the left side corresponds to the input torque of the robot.
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are the internal model of the corresponding mechanical terms.
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are the internal model of the corresponding mechanical terms.
339:) are energy storing elements, whereas a damper (with damping 17: 2816:{\displaystyle {\boldsymbol {\mathcal {F}}}_{\mathrm {ext} }} 2026:{\displaystyle {\boldsymbol {\mathcal {F}}}_{\mathrm {ext} }} 2064:
Analogously, one may propose the following control law:
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Whole-Body Impedance Control of Wheeled Humanoid Robots
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are the task-space stiffness and damping matrices, and
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is the symmetric and positive-definite inertia matrix,
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One may propose a control law of the following form:
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on the left side is the input variable to the robot.
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is usually chosen such that the closed-loop system (
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may be too technical for most readers to understand
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Springer International Publishing. 1987:{\displaystyle {\boldsymbol {\eta }}} 763:{\displaystyle {\boldsymbol {\tau }}} 667:the Coriolis and centrifugal torque, 43:make it understandable to non-experts 7: 2626: 1943:{\displaystyle {\boldsymbol {\mu }}} 775: 416: 130:{\displaystyle ({\boldsymbol {F}})} 3065:. pp. 212–243. Archived from 2955: 2921: 2913: 2840: 2807: 2804: 2801: 2751: 2748: 2745: 2726: 2697: 2676: 2659: 2645: 2600: 2583: 2431: 2400: 2369: 2225: 2160: 2136: 2108: 2091: 2017: 2014: 2011: 1843: 1840: 1837: 1666: 1663: 1660: 1582: 1579: 1576: 1482: 1438: 1435: 1432: 1397: 1336: 1293: 1077: 918: 853: 810: 732: 729: 726: 567: 564: 561: 14: 1899:{\displaystyle {\boldsymbol {x}}} 1877:{\displaystyle {\boldsymbol {q}}} 1637:{\displaystyle {\boldsymbol {D}}} 1615:{\displaystyle {\boldsymbol {K}}} 1130:{\displaystyle {\boldsymbol {D}}} 1108:{\displaystyle {\boldsymbol {K}}} 704:{\displaystyle {\boldsymbol {h}}} 682:{\displaystyle {\boldsymbol {g}}} 660:{\displaystyle {\boldsymbol {c}}} 638:{\displaystyle {\boldsymbol {M}}} 616:{\displaystyle {\boldsymbol {q}}} 289:{\displaystyle {\boldsymbol {s}}} 267:{\displaystyle {\boldsymbol {f}}} 2707: 2457: 2190: 1914: 1884:denotes joint angular position, 1710: 1137:are the control parameters, and 623:denotes joint angular position, 22: 2547: 2518: 2489: 2460: 2336: 2313: 2307: 2295: 2287: 2281: 2269: 2246: 2240: 2207: 2199: 2193: 2181: 2142: 2122: 2097: 1821: 1798: 1787: 1779: 1768: 1745: 1722: 1714: 1418: 1379: 1376: 1368: 1357: 1318: 1307: 1282: 1237: 1208: 1179: 1150: 1029: 1006: 1000: 988: 980: 974: 962: 939: 933: 900: 892: 886: 874: 835: 824: 799: 547: 524: 513: 505: 494: 471: 448: 440: 387: 369: 319:) and springs (with stiffness 168: 144: 124: 116: 1: 3043:: CS1 maint: date and year ( 3058:Buchli, J. (July 12, 2011). 3007:Hogan, N. (June 6–8, 1984). 3016:American Control Conference 2973: 1264: 1258: 3160: 689:the gravitational torque, 96:and the manipulator as an 2037:. The generalized force 393:{\displaystyle (x,y,z)} 2965: 2932: 2817: 2761: 2618: 2557: 2528: 2499: 2470: 2441: 2410: 2379: 2346: 2055: 2027: 1988: 1966: 1944: 1922: 1900: 1878: 1853: 1676: 1638: 1616: 1592: 1500: 1451: 1247: 1218: 1189: 1160: 1131: 1109: 1087: 1039: 764: 742: 705: 683: 661: 639: 617: 577: 394: 353: 333: 313: 290: 268: 246: 175: 131: 3098:Dietrich, A. (2016). 3018:. pp. 304, 313. 2966: 2933: 2818: 2762: 2619: 2558: 2529: 2500: 2471: 2442: 2411: 2380: 2347: 2056: 2028: 1989: 1967: 1945: 1923: 1906:task-space position, 1901: 1879: 1854: 1677: 1639: 1617: 1593: 1501: 1452: 1248: 1219: 1190: 1161: 1132: 1110: 1088: 1040: 765: 743: 706: 684: 662: 640: 618: 578: 395: 354: 334: 314: 291: 269: 247: 176: 132: 3087:, pp. 2666–2672 3072:on October 16, 2017. 2944: 2829: 2788: 2634: 2572: 2538: 2509: 2480: 2451: 2420: 2389: 2358: 2070: 2041: 2035:redundant kinematics 1998: 1976: 1954: 1932: 1910: 1888: 1866: 1696: 1649: 1626: 1604: 1512: 1463: 1274: 1228: 1199: 1170: 1141: 1119: 1097: 1066: 783: 752: 715: 693: 671: 649: 627: 605: 424: 366: 343: 323: 303: 296:being static force. 278: 256: 185: 141: 113: 3144:Control engineering 2566:Similarly, one has 1600:Since the matrices 405:Mathematical basics 274:being friction and 2961: 2928: 2906: 2813: 2757: 2614: 2553: 2524: 2495: 2466: 2437: 2406: 2375: 2342: 2051: 2023: 1984: 1962: 1940: 1918: 1896: 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Index

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manipulator
admittance
impedance
2
1
redundant kinematics
3
stable
"Impedance Control: An Approach to Manipulation"
Archived
cite web
link
"Force, compliance, impedance and interaction control, Summer school dynamic walking and running with robots"
the original
Whole-Body Impedance Control of Wheeled Humanoid Robots
ISBN
978-3-319-40556-8
Archived
Category
Control engineering

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