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Author: Philipp Wenzelburger Publisher: ISBN: 9783832555320 Category : Languages : en Pages : 0
Book Description
How can modern techniques from systems and control theory contribute to the developments in Industry 4.0 and in particular to the production scheduling of flexible manufacturing systems? Motivated by this very general research question, we develop a novel scheduling framework, in which we integrate the modeling and scheduling of flexible manufacturing systems. It allows exploiting the flexibility of manufacturing systems for the production of customer specific goods in the scope of Industry 4.0. The basis of the proposed framework is a modular description of the manufacturing system in the form of a flexible job shop. Automatic model generation algorithms lead to a Petri net model of the system, which enables systems theoretic analysis and the application of model predictive control (MPC), a modern feedback control method. In the MPC formulation of the scheduling problem, the economic goal of the manufacturing system is pursued. By considering feedback from the system, the MPC is able to react to unexpected changes in the manufacturing system and to make optimal use of the flexibility to adjust the production process. The advantages of the framework are its applicability to a wide range of scheduling problems, its ability to model and to exploit the available flexibility for economically optimal operation, and its guarantee to solve the production problem in closed loop operation.
Author: Philipp Wenzelburger Publisher: ISBN: 9783832555320 Category : Languages : en Pages : 0
Book Description
How can modern techniques from systems and control theory contribute to the developments in Industry 4.0 and in particular to the production scheduling of flexible manufacturing systems? Motivated by this very general research question, we develop a novel scheduling framework, in which we integrate the modeling and scheduling of flexible manufacturing systems. It allows exploiting the flexibility of manufacturing systems for the production of customer specific goods in the scope of Industry 4.0. The basis of the proposed framework is a modular description of the manufacturing system in the form of a flexible job shop. Automatic model generation algorithms lead to a Petri net model of the system, which enables systems theoretic analysis and the application of model predictive control (MPC), a modern feedback control method. In the MPC formulation of the scheduling problem, the economic goal of the manufacturing system is pursued. By considering feedback from the system, the MPC is able to react to unexpected changes in the manufacturing system and to make optimal use of the flexibility to adjust the production process. The advantages of the framework are its applicability to a wide range of scheduling problems, its ability to model and to exploit the available flexibility for economically optimal operation, and its guarantee to solve the production problem in closed loop operation.
Author: Ridong Zhang Publisher: Springer ISBN: 9811300836 Category : Technology & Engineering Languages : en Pages : 143
Book Description
This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.
Author: Theodor Borangiu Publisher: Springer ISBN: 3319511009 Category : Technology & Engineering Languages : en Pages : 422
Book Description
The book offers an integrated vision on Cloud and HPC, Big Data, Analytics and virtualization in computing-oriented manufacturing, combining information and communication technologies, service-oriented control of holonic architectures as well as enterprise integration solutions based on SOA principles. It is structured in eight parts, each one grouping research and trends in digital manufacturing and service oriented manufacturing control: Cloud and Cyber-Physical Systems for Smart Manufacturing, Reconfigurable and Self-organized Multi-Agent Systems for Industry and Service, Sustainability Issues in Intelligent Manufacturing Systems, Holonic and Multi-agent System Design for Industry and Service, Should Intelligent Manufacturing Systems be Dependable and Safe?, Service-oriented Management and Control of Manufacturing Systems, Engineering and Human Integration in Flexible and Reconfigurable Industrial Systems,Virtualization and Simulation in Computing-oriented Industry and Service. p>
Author: Eduardo F. Camacho Publisher: ISBN: 9780857293992 Category : Languages : en Pages : 428
Book Description
This project thesis provides a brief overview of Model Predictive Control (MPC).A brief history of industrial model predictive control technology has been presented first followed by a some concepts like the receding horizon, moves etc. which form the basis of the MPC. It follows the Optimization problem which ultimately leads to the description of the Dynamic Matrix Control (DMC). The MPC presented in this report is based on DMC. After this the application summary and the limitations of the existing technology has been discussed and the next generation MPC, with an emphasis on potential business and research opportunities has been reviewed. Finally in the last part we generate Matlab code to implement basic model predictive controller and introduce noise into the model. We have also taken up some case studies like Swimming pool water temperature control and helicopter flight control etc. by applying the MPC controller on these models.
Author: Zuobao Wu Publisher: ISBN: Category : Languages : en Pages :
Book Description
Both new rules are nonparametric and easy to be implemented in practice. A job release mechanism is applied to reduce job flowtimes (up to 20.3%) and work-in-process inventory (up to 33.1%), without worsening earliness and tardiness, and lead time performances. Flexible job shop scheduling problems are an important extension of the classical job shop scheduling problems and present additional complexity. A multi-agent scheduling method with job earliness and tardiness objectives in a flexible job shop environment is proposed. A new job routing and sequencing mechanism is developed. In this mechanism, different criteria for two kinds of jobs are proposed to route these jobs. Two sequencing algorithms based on existing methods are developed to deal with these two kinds of jobs. The proposed methodology is implemented in a flexible job shop environment. The computational results indicate that the proposed methodology is extremely fast.
Author: Azrul Azwan Abdul Rahman Publisher: Fraunhofer Verlag ISBN: 9783839606223 Category : Languages : en Pages : 168
Book Description
In a rapidly changing environment, good coordination of production and logistics at an operational level is required to handle rapidly evolving technology, frequently changing customer demand and satisfaction, and remain competitive. The job shop scheduling and the material flow control are two important factors influencing productivity and cost-controlling activities in any manufacturing system. Finding optimal solutions, however, requires an enormous computational effort, which becomes critical for large problems, particularly in situations where frequent changes in the environment occur. The material flow control system has to ensure the schedule is met. But the planned production schedules often become ineffective when being executed on the shop floor. Given the high degree of automation in material flow systems, automated control systems have to support frequent changes. Although these two problems are strongly connected and solving one significantly impacts the performance of the other, often these problems are solved independently. The complexity of the scheduling problem is increased when the material flow control is involved since not only a proper schedule must be created but an appropriate material flow needs to be provided. Due to this challenge, this dissertation has been designed to bridge the gap by initiating an approach for integrating predictive-reactive job shop scheduling with Programmable Logics Controlled (PLC) material flow. The objective is to develop an integrated control system that supports changes of routing strategy and schedule due to unexpected events. Features offered by state of the art material flow simulation software such as Open Platform Communications (OPC) interfaces and genetic algorithms have given the opportunity to realise this approach. The integrated control system consists of a system model, a control model and a schedule generator. Through combinations of these system components, the OPC connection with the physical system enables the integrated control system to be used for generating schedules, analysing the physical system through simulation and controlling the material flow system. As verification and validation, a demonstration prototype of integrated control system has been developed and applied in an industrial environment. The exemplary implementations prove not only that the planning and operation of material flow system is systematic, but significantly rescheduling and reconfiguration of the integrated control system can be performed with minimal effort.
Author: Yugeng Xi Publisher: John Wiley & Sons ISBN: 1119119545 Category : Technology & Engineering Languages : en Pages : 391
Book Description
This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.
Author: Philipp Wenzelburger
Author: Philipp Wenzelburger
Author: Ridong Zhang
Author: Aswin N. Venkat
Author: Theodor Borangiu
Author: Eduardo F. Camacho
Author: Zuobao Wu
Author: Azrul Azwan Abdul Rahman
Author: F. Pezzella
Author: Yugeng Xi
Author: Youssef Benadada