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This unique book is the only recent summary presenting a comprehensive, up-to-date and detailed treatment of relay feedback theory, the use of relay feedback for process identification and the use of identified models for general control design in a single volume.
Recognising the benefits of improved control, this book aims to provide simple and yet effective methods of improving controller performance. It bridges the gap between the conventional tuning practice and new generations of autotuning methods. Practical issues facing controller tuning are treated, such as measurement noises, process nonlinearity, load disturbances, and multivariable interaction, and tools are also given. Numerous worked examples and case studies are used to illustrate the autotuning procedure, and MATLAB programs to execute autotuning steps are given. This book is intended to be an independent learning tool, and is particularly invaluable to practitioners and scientist, as well as graduate and undergraduate students. The reader will therefore find it useful, particularly as it is applicable to engineering practice
The relay feedback test (RFT) has become a popular and efficient in process identification and automatic controller tuning. Non-parametric Tuning of PID Controllers couples new modifications of classical RFT with application-specific optimal tuning rules to form a non-parametric method of test-and-tuning. Test and tuning are coordinated through a set of common parameters so that a PID controller can obtain the desired gain or phase margins in a system exactly, even with unknown process dynamics. The concept of process-specific optimal tuning rules in the nonparametric setup, with corresponding tuning rules for flow, level pressure, and temperature control loops is presented in the text. Common problems of tuning accuracy based on parametric and non-parametric approaches are addressed. In addition, the text treats the parametric approach to tuning based on the modified RFT approach and the exact model of oscillations in the system under test using the locus of a perturbedrelay system (LPRS) method. Industrial loop tuning for distributed control systems using modified RFT is also described. Many of the problems of tuning rules optimization and identification with modified RFT are accompanied by MATLAB® code, downloadable from to allow the reader to duplicate the results. Non-parametric Tuning of PID Controllers is written for readers with previous knowledge of linear control and will be of interest to academic control researchers and graduate students and to practitioners working in a variety of chemical- mechanical- and process-engineering-related industries.
This thesis considers two particular issues arising in the controlled mechanical systems: state estimation based on kinematic models using more sensors and the unified approach to understand the nonlinear dynamics coming from the Coulomb friction.
This volume collects together state-of-the-art contributions to the IEEE workshop on Nonlinear Dynamics of Electronic Systems.
Proportional-integral-derivative (PID) controllers are extensively used for efficient industrial operations. Autotuning such controllers is required for efficient operation. There are two ways of relay autotuning cascade control systems – simultaneous tuning and sequential tuning. This book discusses incorporation of higher order harmonics of relay autotuning for a single loop controller and cascade control systems to get accurate values of controller ultimate gain. It provides a simple method of designing P/PI controllers for series and parallel cascade control schemes. The authors also focus on estimation of model parameters of unstable FOPTD systems, stable SOPTD and unstable SOPTDZ systems using a single relay feedback test. The methodology and final results explained in this book are useful in tuning controllers. The text would be of use to graduate students and researchers for further studies in this area.
The market demands for skills, knowledge and personalities have positioned robotics as an important field in both engineering and science. To meet these challenging - mands, robotics has already seen its success in automating many industrial tasks in factories. And, a new era will come for us to see a greater success of robotics in n- industrial environments. In anticipating a wider deployment of intelligent and auto- mous robots for tasks such as manufacturing, eldercare, homecare, edutainment, search and rescue, de-mining, surveillance, exploration, and security missions, it is necessary for us to push the frontier of robotics into a new dimension, in which motion and intelligence play equally important roles. After the success of the inaugural conference, the purpose of the Second Inter- tional Conference on Intelligent Robotics and Applications was to provide a venue where researchers, scientists, engineers and practitioners throughout the world could come together to present and discuss the latest achievement, future challenges and exciting applications of intelligent and autonomous robots. In particular, the emphasis of this year’s conference was on “robot intelligence for achieving digital manufact- ing and intelligent automations. ” This volume of Springer’s Lecture Notes in Artificial Intelligence and Lecture Notes in Computer Science contains accepted papers presented at ICIRA 2009, held in Singapore, December 16–18, 2009. On the basis of the reviews and recommendations by the international Program Committee members, we decided to accept 128 papers having technical novelty, out of 173 submissions received from different parts of the world.

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