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Danny Grant

dblp:98/2731 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 3 first-authorSystems, architecture and hardware · 4 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Motion planning and robot control · 78% Robot manipulation · 22%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
actuator control
0.132000
Constrained Force Control of Shape Memory Alloy Actuators · ICRA 2000
Controller for a high strain shape memory alloy actuator: quenching of limit cycles · ICRA 1997
Design of Shape Memory Alloy Actuator with High Strain and Variable Structure Control · ICRA 1995
Robotics › Motion planning and robot control › robot control › actuator control
shape memory alloy actuator control
0.021997
Controller for a high strain shape memory alloy actuator: quenching of limit cycles · ICRA 1997
Design of Shape Memory Alloy Actuator with High Strain and Variable Structure Control · ICRA 1995
Robotics › Robot manipulation
actuator design
0.021997
Design and comparison of high strain shape memory alloy actuators · ICRA 1997
Design of Shape Memory Alloy Actuator with High Strain and Variable Structure Control · ICRA 1995
Robotics › Robot manipulation › actuator design
shape memory alloy actuator
0.011997
Design and comparison of high strain shape memory alloy actuators · ICRA 1997
Robotics › Motion planning and robot control › robot control › hybrid control
switching control
0.011997
Controller for a high strain shape memory alloy actuator: quenching of limit cycles · ICRA 1997
Robotics › Motion planning and robot control › robot control › sliding mode control
variable structure control
0.011995
Design of Shape Memory Alloy Actuator with High Strain and Variable Structure Control · ICRA 1995
Robotics › Motion planning and robot control › manipulator control
force-constrained control
0.012000
Constrained Force Control of Shape Memory Alloy Actuators · ICRA 2000
Robotics › Motion planning and robot control › robot control
force control
0.012000
Constrained Force Control of Shape Memory Alloy Actuators · ICRA 2000

Methods — techniques the papers use, named apart from their topics

sliding mode control · 0.0three-level switching control · 0.0simulation · 0.0experimental verification · 0.0PD control · 0.0variable structure control · 0.0
YearPublicationVenuePosition
2000 Constrained Force Control of Shape Memory Alloy Actuators
abstract
Experimental results are presented to show that SMA actuators are able to control forces both rapidly and precisely. An antagonistic pair of constrained actuators is shown to be capable of rapidly changing the set-point throughout a /spl plusmn/7.00 N range. Although the system entered into a limit cycle at the set-point, the limit cycle magnitude was small. The peak to peak amplitude of the limit cycles was only 0.07 N with a worst case average offset of 0.016 N at high force rates up to 75 N.s/sup -1/. Simulation results also indicate that accuracy could be improved with an increased sampling rate. The SMA actuator pair was also shown to be capable of accurate tracking. The maximum tracking error for a f=0.500 Kz, 2.00 N sine wave was 0.04 N. For the 2 Hz tracking, the maximum error was approximately equal to the boundary layer width which was set at 0.30 N.
Danny Grant, Vincent Hayward
ICRA1
1997 Controller for a high strain shape memory alloy actuator: quenching of limit cycles
abstract
Further development of a three level switching controller (Grant and Hayward, 1995) is presented. The controller was originally designed to drive a novel shape memory alloy (SMA) actuator consisting of a number of thin NiTi fibers woven in a counter rotating helical pattern around supporting disks. While the original controller performed satisfactorily, it was hampered by the presence of limit cycles at higher gains. By allowing the upper switching level to be proportional to the velocity if is possible to achieve a damped response, analogous to PD control for linear systems, effectively quenching the limit cycle. With this damping, it is possible to decrease the rise time by almost half and maintain the same steady state accuracy.
Danny Grant, Vincent Hayward
ICRA1
1997 Design and comparison of high strain shape memory alloy actuators
abstract
A simulator is developed to model and design high strain shape memory alloy (SMA) tension actuators. The simulator may be used predict characteristics of a given actuator, or to design its geometry under specifications such as force, speed, stroke and size. The accuracy of the model is verified experimentally in reference to an existing NiTi shape memory alloy prototype actuator. Having developed some confidence in the model, the performance of the proposed actuation mechanism is compared to other existing technologies. In particular, the force-displacement and speed characteristics of a micro-solenoid electro-magnetic actuator and a muscle-size pneumatic actuator are compared to those of the SMA actuators with same dimensions.
Alexandra Lu, Danny Grant, Vincent Hayward
ICRA2
1995 Design of Shape Memory Alloy Actuator with High Strain and Variable Structure Control
abstract
A novel shape memory alloy (SMA) actuator consisting of a number of thin NiTi fibers woven in a counter rotating helical pattern around supporting disks is first described. This structure can be viewed as a parallel mechanism used to accomplish a highly efficient transformation between force and displacement. The actuator overcomes the main mechanical drawback of shape memory alloys, that being limited strain. Two variable structure controllers are applied to a pair of antagonist actuators. The first involves a switching control input creating a sliding mode in conjunction with a linear control activated within a boundary layer in the vicinity of the set point. The second involves a multistage switching control that simplifies amplifier construction. Experimental performance results in the time domain are discussed.
Danny Grant, Vincent Hayward
ICRA1