Control of Robot Manipulators in Joint Space [electronic resource] / by Rafael Kelly, Victor Santibáñez Davila, Antonio Loría.

By: Kelly, Rafael [author.]Contributor(s): Davila, Victor Santibáñez [author.] | Loría, Antonio [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Advanced Textbooks in Control and Signal Processing: Publisher: London : Springer London, 2005Description: XXVI, 426p. 110 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781852339999Subject(s): Engineering | Computer simulation | Machinery | Engineering | Control Engineering | Automation and Robotics | Simulation and Modeling | Machinery and Machine Elements | Manufacturing, Machines, ToolsAdditional physical formats: Printed edition:: No titleOnline resources: Click here to access online
Contents:
Preliminaries -- to Part I -- What Does “Control of Robots” Involve? -- Mathematical Preliminaries -- Robot Dynamics -- Properties of the Dynamic Model -- Case Study: The Pelican Prototype Robot -- Position Control -- to Part II -- Proportional Control plus Velocity Feedback and PD Control -- PD Control with Gravity Compensation -- PD Control with Desired Gravity Compensation -- PID Control -- Motion Control -- to Part III -- Computed-torque Control and Computed-torque+ Control -- PD+ Control and PD Control with Compensation -- Feedforward Control and PD Control plus Feedforward -- Advanced Topics -- to Part IV -- P“D” Control with Gravity Compensation and P“D” Control with Desired Gravity Compensation -- to Adaptive Robot Control -- PD Control with Adaptive Desired Gravity Compensation -- PD Control with Adaptive Compensation.
In: Springer eBooksSummary: Robot control is the backbone of robotics, an essential discipline in the maintenance of high quality and productivity in modern industry. The most common method of control for industrial robotic manipulators relies on the measurement and amendment of joint displacement: so-called "joint-space control". Control of Robot Manipulators in Joint Space addresses robot control in depth, treating a range of model-based controllers in detail: proportional derivative; proportional integral derivative; computed torque and some adaptive variants. Using varying combinations of the text’s four parts: • robot dynamics and mathematical preliminaries; • set-point model-based control; • tracking model-based control; and • adaptive and velocity-independent control a complete course in robot control based on joint space can be constructed for senior undergraduates or masters students. Other areas of study important to robotics, such as kinematics, receive attention within the case studies which are based around a 2-degrees-of-freedom planar articulated arm termed the Pelican prototype and used throughout to test the examined controllers by experimentation. In addition to the written text, auxiliary resources are available in the form of pdf projector presentations for the instructor to use in lectures and as printed class aids for students, and a pdf solutions manual. All of this labour-saving supplementary material can be downloaded from springeronline.com.
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Preliminaries -- to Part I -- What Does “Control of Robots” Involve? -- Mathematical Preliminaries -- Robot Dynamics -- Properties of the Dynamic Model -- Case Study: The Pelican Prototype Robot -- Position Control -- to Part II -- Proportional Control plus Velocity Feedback and PD Control -- PD Control with Gravity Compensation -- PD Control with Desired Gravity Compensation -- PID Control -- Motion Control -- to Part III -- Computed-torque Control and Computed-torque+ Control -- PD+ Control and PD Control with Compensation -- Feedforward Control and PD Control plus Feedforward -- Advanced Topics -- to Part IV -- P“D” Control with Gravity Compensation and P“D” Control with Desired Gravity Compensation -- to Adaptive Robot Control -- PD Control with Adaptive Desired Gravity Compensation -- PD Control with Adaptive Compensation.

Robot control is the backbone of robotics, an essential discipline in the maintenance of high quality and productivity in modern industry. The most common method of control for industrial robotic manipulators relies on the measurement and amendment of joint displacement: so-called "joint-space control". Control of Robot Manipulators in Joint Space addresses robot control in depth, treating a range of model-based controllers in detail: proportional derivative; proportional integral derivative; computed torque and some adaptive variants. Using varying combinations of the text’s four parts: • robot dynamics and mathematical preliminaries; • set-point model-based control; • tracking model-based control; and • adaptive and velocity-independent control a complete course in robot control based on joint space can be constructed for senior undergraduates or masters students. Other areas of study important to robotics, such as kinematics, receive attention within the case studies which are based around a 2-degrees-of-freedom planar articulated arm termed the Pelican prototype and used throughout to test the examined controllers by experimentation. In addition to the written text, auxiliary resources are available in the form of pdf projector presentations for the instructor to use in lectures and as printed class aids for students, and a pdf solutions manual. All of this labour-saving supplementary material can be downloaded from springeronline.com.

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