Download hydraulic servo systems modelling identification and control advances in industrial control in pdf or read hydraulic servo systems modelling identification and control advances in industrial control in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get hydraulic servo systems modelling identification and control advances in industrial control in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Hydraulic Servo Systems

Author: Mohieddine Jelali
Publisher: Springer Science & Business Media
ISBN: 1447100999
Size: 23.25 MB
Format: PDF, Mobi
View: 6881
Download and Read
This up-to-date book details the basic concepts of many recent developments of nonlinear identification and nonlinear control, and their application to hydraulic servo-systems. It is very application-oriented and provides the reader with detailed working procedures and hints for implementation routines and software tools.

Mechatronics For Safety Security And Dependability In A New Era

Author: Eiji Arai
Publisher: Elsevier
ISBN: 0080466249
Size: 55.76 MB
Format: PDF, Mobi
View: 5323
Download and Read
Mechatronics for Safety, Security and Dependability in a New Era contains selected leading papers from the International Conference on Machine Automation 2004, the work of researchers from USA, Japan, China and Europe. The topics covered include: manufacturing systems such as CAD/CAM, machining and, human factors in manufacturing; robotics in relation to sensors and actuators, new control technology and, measuring and monitoring; the application of new technologies in connection with wireless communication, human behavior analysis and welfare. Mechatronics has been rapidly developing as an important area that affects all areas of society from industrial robots, automobiles, electrical appliances, computers and consumer goods etc. It also plays a role in safety recovery, such as for rescue tasks after disasters, destruction of hazardous and abandoned weapons and the restoration of polluted environments. The increasing need for safe, secure and dependable technology means that the advancement of mechatronics plays an essential role in the development of products and systems. This book provides an insight into developments in essential new methodologies and tools to design and to build machines to achieve this. Covers key topics in manufacturing, such as machining, robotics, sensors, monitoring, etc. Reviews modern applications of new technologies in connection with wireless communication, human behavior analysis, and welfare

Supervision And Control For Industrial Processes

Author: Bjorn Sohlberg
Publisher: Springer Science & Business Media
ISBN: 1447115589
Size: 26.96 MB
Format: PDF, ePub, Docs
View: 1059
Download and Read
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The steel industry world-wide is highly competitive and there is significant research in progress to ensure competitive success prevails in the various companies. From an engineering viewpoint, this means the use of increasingly sophisticated techniques and state-of-the-art theory to optimise process throughput and deliver ever more exacting dimensional and material property specifications. Dr. Bjöm Sohlberg's monograph demonstrates this interplay between fundamental control engineering science and the demands of a particular applications project in the steel strip production business. It is an excellent piece of work which clearly shows how these industrial engineering challenges can be formulated and solved.

Modeling And Identification Of Linear Parameter Varying Systems

Author: Roland Toth
Publisher: Springer Science & Business Media
ISBN: 364213811X
Size: 38.21 MB
Format: PDF, ePub, Mobi
View: 5403
Download and Read
Through the past 20 years, the framework of Linear Parameter-Varying (LPV) systems has become a promising system theoretical approach to h- dle the controlof mildly nonlinear and especially position dependent systems which are common in mechatronic applications and in the process ind- try. The birth of this system class was initiated by the need of engineers to achieve better performance for nonlinear and time-varying dynamics, c- mon in many industrial applications, than what the classical framework of Linear Time-Invariant (LTI) control can provide. However, it was also a p- mary goal to preserve simplicity and “re-use” the powerful LTI results by extending them to the LPV case. The progress continued according to this philosophy and LPV control has become a well established ?eld with many promising applications. Unfortunately, modeling of LPV systems, especially based on measured data (which is called system identi?cation) has seen a limited development sincethebirthoftheframework. Currentlythisbottleneck oftheLPVfra- work is halting the transfer of the LPV theory into industrial use. Without good models that ful?ll the expectations of the users and without the und- standing how these models correspond to the dynamics of the application, it is di?cult to design high performance LPV control solutions. This book aims to bridge the gap between modeling and control by investigating the fundamental questions of LPV modeling and identi?cation. It explores the missing details of the LPV system theory that have hindered the formu- tion of a well established identi?cation framework.

Intelligent Tuning And Adaptive Control

Author: R. Devanathan
Publisher: Elsevier
ISBN: 1483298957
Size: 53.44 MB
Format: PDF, Docs
View: 3561
Download and Read
This volume contains 67 papers reporting on the state-of-the-art research in the fields of adaptive control and intelligent tuning. Papers include applications in robotics, the processing industries and machine control.

Fractional Order Systems And Controls

Author: Concepción A. Monje
Publisher: Springer Science & Business Media
ISBN: 9781849963350
Size: 47.11 MB
Format: PDF, Docs
View: 4153
Download and Read
Fractional-order Systems and Controls details the use of fractional calculus in the description and modeling of systems, and in a range of control design and practical applications. It is largely self-contained, covering the fundamentals of fractional calculus together with some analytical and numerical techniques and providing MATLAB® codes for the simulation of fractional-order control (FOC) systems. Many different FOC schemes are presented for control and dynamic systems problems. Practical material relating to a wide variety of applications is also provided. All the control schemes and applications are presented in the monograph with either system simulation results or real experimental results, or both. Fractional-order Systems and Controls provides readers with a basic understanding of FOC concepts and methods, so they can extend their use of FOC in other industrial system applications, thereby expanding their range of disciplines by exploiting this versatile new set of control techniques.

Practical Pid Control

Author: Antonio Visioli
Publisher: Springer Science & Business Media
ISBN: 1846285860
Size: 34.78 MB
Format: PDF, ePub
View: 115
Download and Read
This book focuses on those functionalities that can provide significant improvements in Proportional–integral–derivative (PID) performance in combination with parameter tuning. In particular, the choice of filter to make the controller proper, the use of a feedforward action and the selection of an anti-windup strategy are addressed. The book gives the reader new methods for improving the performance of the most widely applied form of control in industry.

Model Predictive Control System Design And Implementation Using Matlab

Author: Liuping Wang
Publisher: Springer Science & Business Media
ISBN: 1848823312
Size: 47.89 MB
Format: PDF, Docs
View: 4801
Download and Read
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.

Algebraic Identification And Estimation Methods In Feedback Control Systems

Author: Hebertt Sira-Ram?rez
Publisher: John Wiley & Sons
ISBN: 1118730585
Size: 57.26 MB
Format: PDF, Mobi
View: 4907
Download and Read
Algebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems. This approach evades the mathematical intricacies of the traditional stochastic approach, proposing a direct model-based scheme with several easy-to-implement computational advantages. The approach can be used with continuous and discrete, linear and nonlinear, mono-variable and multi-variable systems. The estimators based on this approach are not of asymptotic nature, and do not require any statistical knowledge of the corrupting noises to achieve good performance in a noisy environment. These estimators are fast, robust to structured perturbations, and easy to combine with classical or sophisticated control laws. This book uses module theory, differential algebra, and operational calculus in an easy-to-understand manner and also details how to apply these in the context of feedback control systems. A wide variety of examples, including mechanical systems, power converters, electric motors, and chaotic systems, are also included to illustrate the algebraic methodology. Key features: Presents a radically new approach to online parameter and state estimation. Enables the reader to master the use and understand the consequences of the highly theoretical differential algebraic viewpoint in control systems theory. Includes examples in a variety of physical applications with experimental results. Covers the latest developments and applications. Algebraic Identification and Estimation Methods in Feedback Control Systems is a comprehensive reference for researchers and practitioners working in the area of automatic control, and is also a useful source of information for graduate and undergraduate students.

On Motion Control Of Linear Incremental Hydraulic Actuators

Author: Martin Hochwallner
Publisher: Linköping University Electronic Press
ISBN: 9176854256
Size: 44.85 MB
Format: PDF, ePub, Docs
View: 872
Download and Read
Linear Incremental Hydraulic Actuators combine one or more short-stroke cylinders, and two or more engaging/disengaging mechanisms into one actuator with long, medium, or even unlimited stroke length. The motion of each single short-stroke actuator concatenated by the engaging/disengaging mechanisms forms the motion of the linear incremental hydraulic actuator. The patterns of how these motions are concatenated form the gaits of a specific linear incremental hydraulic actuator. Linear incremental hydraulic actuators may have more than one gait. In an application, the gaits may be combined to achieve optimal performance at various operating points. The distinguishing characteristic of linear incremental hydraulic actuators is the incremental motion. The term incremental actuator is seen as analogous to the incremental versus absolute position sensor. Incremental actuators realize naturally relative positioning. Incremental motion means also that the behavior does not depend on an absolute position but only on the relative position within a cycle or step. Incremental actuators may realize discrete incremental or continuous incremental motion. Discrete incremental actuators can only approach discrete positions, whereby stepper drives are one prominent example. In contrast, continuous incremental actuators may approach any position. Linear electric motors are one example of continuous incremental actuators. The actuator has no inherent limitation in stroke length, as every step or cycle adds only to the state at the beginning of the step or cycle and does not depend on the absolute position. This led to the alternative working title Hydraulic Infinite Linear Actuator. Linear incremental hydraulic actuator provides long stroke, high force, and linear motion and has the potential to decrease the necessary resource usage,minimize environmental impact, e.g. from potential oil spillage,extend the range of feasible products: longer, stiffer, better, etc. This thesis presents an analysis of the characteristics and properties of linear incremental hydraulic actuators as well as the gaits and possible realizations of some gaits. The gait for continuous, smooth motion with two cylinders is comprehensively studied and a control concept for the tracking problem is proposed. The control concept encapsulates the complexity of the linear incremental hydraulic actuator so that an application does not have to deal with it. One other gait, the ballistic gait, which realizes fast, energy-efficient motion, enabling energy recuperation is studied.