Download or read book A Regressor free Adaptive Control for Flexible joint Robots Based on Function Approximation Technique written by Ming-Chih Chien and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Control of Robot Manipulators written by An-Chyau Huang and published by World Scientific. This book was released on 2010 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces an unified function approximation approach to the control of uncertain robot manipulators containing general uncertainties. It works for free space tracking control as well as compliant motion control. It is applicable to the rigid robot and the flexible joint robot. Even with actuator dynamics, the unified approach is still feasible. All these features make the book stand out from other existing publications.
Download or read book An Adaptive Controller Design for Flexible joint Electrically driven Robots With Consideration of Time Varying Uncertainties written by Ming-Chih Chien and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: An adaptive controller is proposed for RLFJED robots containing time-varying uncertainties. A backstepping-like procedure is developed to deal with the cascade structure in its dynamic equations. The function approximation technique is employed to cope with the time-varying uncertainties. The closed loop stability is proved by using the Lyapunovlike analysis. The realization of the proposed controller does not need to calculate the regressor which is required in most adaptive designs for robot manipulators. Simulation.
Download or read book Adaptive Control for Robotic Manipulators written by Dan Zhang and published by CRC Press, Taylor & Francis Group, CRC Press is. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover -- Half title -- Title Page -- Copyright page -- Table of Contents -- Preface -- 1: From MRAC to Learning-Based MPC: The Emerging Importance of Machine Learning for Control of Robot Manipulators -- 2: Discussion on Model Reference Adaptive Control of Robotic Manipulators -- 3: Data-Based Learning for Uncertain Robotic Systems -- 4: Reinforcement Learning of Robotic Manipulators -- 5: Adaptive Control for Multi-Fingered Robot Hands -- 6: Output Feedback Adaptive Control of Uncertain Dynamical Systems with Event-Triggering -- 7: Event Sampled Adaptive Control of Robot Manipulators and Mobile Robot Formations -- 8: Design, Integration and Analysis of a Hybrid Controller for Multi Degrees of Freedom Serial Mechanisms -- 9: Adaptive Control of Modular Ankle Exoskeletons in Neurologically Disabled Populations -- 10: Open Architecture High Value Added Robot Manufacturing Cells -- 11: The Adaptive Control Algorithm for Manipulators with Joint Flexibility -- 12: Unification of Bipedal Robotic Walking using Quadratic Program-based Control Lyapunov Function: Applications to Regulation of ZMP and Angular Momentum -- 13: Robust Adaptive Nonlinear Control for Robotic Manipulators with Flexible Joints -- 14: Adaptive Switching Iterative Learning Control of Robot Manipulator -- 15: Adaptive Robust Control Design for Robot Manipulators Based on Online Estimation of the Lumped Time-Varying Model Uncertainties -- 16: Evaluation of Microgenetic and Microimmune Algorithms for Solving Inverse Kinematics of Hyper-redundant Robotic Manipulators On-line -- Index
Download or read book SMC fat Based Adaptive Control of Robot Manipulator Unknown Time Varying Uncertainties written by Mst Nafisa Tamanna Shanta and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Control of a Flexible Joint Robot written by Yau-Zen Chang and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Control of Flexible Joint Robots Derived from Arm Energy Considerations written by Shaheen Ahmad and published by . This book was released on 1990 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulations are presented to verify the validity of the control scheme. The superiority of the proposed scheme over existing rigid robot adaptive schemes is also illustrated through simulation."
Download or read book Adaptive Control of Flexible Joint Robot Manipulators written by Fathi Ghorbel and published by . This book was released on 1991 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: The adaptive control of flexible joint robot manipulators using composite control is presented first. This slow/fast control strategy consists of a slow adaptive controller designed for a rigid robot together with a fast controller to damp the elastic oscillations of the joints. The mathematical details and rigorous stability proofs of this algorithm are presented. Using the composite Lyapunov theory for singularly perturbed systems, sufficient conditions for adaptive trajectory tracking a presented. A second approach based on the method of integral manifolds for singularly perturbed systems is presented next. The known parameter case is treated and stability analysis is included. The method of integral manifolds is then extended to the adaptive case. Sufficient conditions for adaptive trajectory tracking are presented for both the general case and a special class of robot manipulators. Finally experimental and simulation results are included to illustrate different aspects of the results including adaptive instability mechanisms.
Download or read book Adaptive Control of Mechanical Manipulators written by John J. Craig and published by Addison Wesley Publishing Company. This book was released on 1988 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Robust H 0 0 Based Control of Flexible Joint Robots with Harmonic Drive Transmission written by Majid M. Moghaddam and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of the control of flexible joint robots is considered. Motion and torque control of robot joints, especially those equipped with harmonic drive (HD) transmission, is a challenging task due to the inherent nonlinear characteristics and joint flexibility of such systems. Two issues related to the control of flexible joint robots are investigated. The first is the development of a systematic scheme for selecting uncertainty bounds of robot joint nonlinearity and flexibility for control design purposes. The second is the development of motion and torque control schemes that guarantee robust performance in the presence of model uncertainties. We propose a twofold robust control design for flexible joint robots with HD: an actuator-level torque control and a link-level motion control. We utilize multivariable ${\cal H}\sb\infty$-based optimal control laws supported entirely by frequency domain measures at both levels. The proposed method provides a unified framework for achieving the desired performance requirements and for preserving robust stability in the presence of model uncertainties. Using simulation it is shown that the proposed method is more robust than conventional methods because the uncertainties due to the actuator-transmission nonlinearity are explicitly considered in the control design procedure. In the design of the actuator level torque control, we analyze nonlinear harmonic drive phenomena that have been widely observed in experiments. The focus is on incorporating into the control design process a knowledge of the mismatch between the physical system and its mathematical models. The describing function and conic-sector-bounded nonlinearity methods are used to build into the control design process the effects of mismatch between hysteresis, friction and nonlinear stiffness of HD transmission and their mathematical models. In the design of the link level motion control, a nonlinear compensator based on the computed torque technique is derived. It is shown that the closed-loop system achieves robust performance using the proposed control design technique. Using the Small Gain theorem and the Lyapunov Function method, the stability of the proposed control scheme is verified. Finally, in order to illustrate the proposed technique two control designs are presented for the IRIS-facility experimental testbed (a versatile, modular, and reconfigurable prototype robot developed at the Robotics and Automaton Laboratory of the University of Toronto) together with simulation and experimental results.
Download or read book Adaptive Neural Network Control of Robotic Manipulators written by Tong Heng Lee and published by World Scientific. This book was released on 1998 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction; Mathematical background; Dynamic modelling of robots; Structured network modelling of robots; Adaptive neural network control of robots; Neural network model reference adaptive control; Flexible joint robots; task space and force control; Bibliography; Computer simulation; Simulation software in C.
Download or read book Neural Network Control Of Robot Manipulators And Non Linear Systems written by F W Lewis and published by CRC Press. This book was released on 1998-11-30 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.
Download or read book Flexible Joint Robots written by Mark C. Readman and published by CRC Press. This book was released on 1994-07-13 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Joint flexibility from harmonic or direct drives or flexible couplings limits the performance of robots. Performance can be improved by taking into account the fast dynamics that are introduced by joint flexibility. High gain acceleration feedback from the link angles simplifies the robot dynamics, but is limited by joint flexibility. One solution is to use joint torque feedback to stabilize the fast dynamics. In light of this, drive systems that incorporate joint torque sensors are being developed. Flexible Joint Robots is the first book to consider the myriad problems and potential solutions that affect flexible joint robot design. The book covers fundamental concepts, including joint torque feedback control laws, acceleration feedback, and adaptive control laws. It presents a dynamic model of a flexible joint robot in several coordinate systems and includes an analysis of the fast dynamics.
Download or read book Applied Nonlinear Control written by Jean-Jacques E. Slotine and published by . This book was released on 1991 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, the authors present a global perspective on the methods available for analysis and design of non-linear control systems and detail specific applications. They provide a tutorial exposition of the major non-linear systems analysis techniques followed by a discussion of available non-linear design methods.
Download or read book Robot Manipulator Control written by Frank L. Lewis and published by CRC Press. This book was released on 2003-12-12 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control. New chapters relay practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.
Download or read book System Identification and Adaptive Control written by Yiannis Boutalis and published by Springer Science & Business. This book was released on 2014-04-23 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
