Optimal variable stiffness control: formulation and application to explosive movement tasks

被引:101
作者
Braun, David [1 ]
Howard, Matthew [1 ]
Vijayakumar, Sethu [1 ]
机构
[1] Univ Edinburgh, Sch Informat, IPAB, Edinburgh, Midlothian, Scotland
关键词
Variable impedance control; Optimal stiffness control; Dynamic task; Power amplification; NATURAL DYNAMICS; ACTUATOR; MUSCLE; OPTIMIZATION; IMPEDANCE; DESIGN; ENERGY; PRINCIPLES; MECHANICS; FORCE;
D O I
10.1007/s10514-012-9302-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is widely recognised that compliant actuation is advantageous to robot control once dynamic tasks are considered. However, the benefit of intrinsic compliance comes with high control complexity. Specifically, coordinating the motion of a system through a compliant actuator and finding a task-specific impedance profile that leads to better performance is known to be non-trivial. Here, we propose an optimal control formulation to compute the motor position commands, and the associated time-varying torque and stiffness profiles. To demonstrate the utility of the approach, we consider an "explosive" ball-throwing task where exploitation of the intrinsic dynamics of the compliantly actuated system leads to improved task performance (i.e., distance thrown). In this example we show that: (i) the proposed control methodology is able to tailor impedance strategies to specific task objectives and system dynamics, (ii) the ability to vary stiffness can be exploited to achieve better performance, (iii) in systems with variable physical compliance, the present formulation enables exploitation of the energy storage capabilities of the actuators to improve task performance. We illustrate these in numerical simulations, and in hardware experiments on a two-link variable stiffness robot.
引用
收藏
页码:237 / 253
页数:17
相关论文
共 68 条
[1]   STORAGE OF ELASTIC STRAIN-ENERGY IN MUSCLE AND OTHER TISSUES [J].
ALEXANDER, RM ;
BENNETCLARK, HC .
NATURE, 1977, 265 (5590) :114-117
[2]   Dynamic optimization of human walking [J].
Anderson, FC ;
Pandy, MG .
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2001, 123 (05) :381-390
[3]   HYBRID IMPEDANCE CONTROL OF ROBOTIC MANIPULATORS [J].
ANDERSON, RJ ;
SPONG, MW .
IEEE JOURNAL OF ROBOTICS AND AUTOMATION, 1988, 4 (05) :549-556
[4]  
[Anonymous], 2003, J. Mach. Learn. Res.
[5]  
[Anonymous], P IEEE RSJ INT C INT
[6]  
Bellman R. E., 1957, Dynamic programming. Princeton landmarks in mathematics
[7]   Survey of numerical methods for trajectory optimization [J].
Betts, JT .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1998, 21 (02) :193-207
[8]   Fast and "soft-arm" tactics [J].
Bicchi, A ;
Tonietti, G .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2004, 11 (02) :22-33
[9]  
Bingham G. P., 1988, J HUMAN MOVEMENT SCI, V7, P255
[10]   TIME-OPTIMAL CONTROL OF ROBOTIC MANIPULATORS ALONG SPECIFIED PATHS [J].
BOBROW, JE ;
DUBOWSKY, S ;
GIBSON, JS .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1985, 4 (03) :3-17