Modelling and Algorithmic Issues in Intelligent Control

Christopher J. Byrnes
Additional contact information
Christopher J. Byrnes: Arizona State University, Department of Electrical and Computer Engineering Department of Mathematics

A chapter in The Merging of Disciplines: New Directions in Pure, Applied, and Computational Mathematics, 1986, pp 15-36 from Springer

Abstract: Abstract Despite ubiquitous success in the implementation of classical automatic control, there are pressing needs on many technological fronts for the design of more advanced, high performance, real-time command generators. For example, the needs for a significant increase in the accuracy, speed and versatility of robotic manipulators and of high performance weapon pointing systems have led to a reexamination of the implementation of classical (e.g., PD) controllers for DC actuators and an exploration and evaluation of the use of new and more sophisticated control schemes (see e.g. [l]–[8]). Aside from specific needs to meet more demanding performance requirements, more versatile command generators are now required to fully realize the benefits of the new design options which have been made possible by recent hardware innovations, ranging from devices such as microprocessors to DC motors. Indeed, recent advances in DC motor technology have made the implementation of direct drive actuators for robot arms attractive and feasible: the first of two new kinds of DC motors, based on rare earth cobalt magnets, has already been used in the Carnegie-Mellon direct-drive arm in 1981 and in the MIT direct drive arm (see [9]) in 1982, while a second kind of DC motor is currently being used in the construction of a four degree of freedom robot arm at the ASU Robotics Laboratory.

Keywords: Control Objective; Intelligent Control; Robotic Manipulator; Command Generator; Intelligent Controller (search for similar items in EconPapers)
Date: 1986
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-4984-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9781461249849

DOI: 10.1007/978-1-4612-4984-9_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().