Издательство InTech, 2009, -360 pp.
Automation is the use of control systems (such as numerical control, programmable logic control, and other industrial control systems), in concert with other applications of information technology (such as computer-aided technologies [CAD, CAM, CAx]), to control industrial machinery and processes, reducing the need for human intervention. In the scope of industrialization, automation is a step beyond mechanization. Whereas mechanization provided human operators with machinery to assist them with the muscular requirements of work, automation greatly reduces the need for human sensory and mental requirements as well. Processes and systems can also be automated.
Automation plays an increasingly important role in the global economy and in daily experience. Engineers strive to combine automated devices with mathematical and organizational tools to create complex systems for a rapidly expanding range of applications and human activities. Many roles for humans in industrial processes presently lie beyond the scope of automation. Human-level pattern recognition, language recognition, and language production ability are well beyond the capabilities of modern mechanical and computer systems. Tasks requiring subjective assessment or synthesis of complex sensory data, such as scents and sounds, as well as high-level tasks such as strategic planning, currently require human expertise. In many cases, the use of humans is more cost-effective than mechanical approaches even where automation of industrial tasks is possible.
Specialized industrial computers, referred to as programmable logic controllers (PLCs), are frequently used to synchronize the flow of inputs from (physical) sensors and events with the flow of outputs to actuators and events. This leads to precisely controlled actions that permit a tight control of almost any industrial process.
Human-machine interfaces (HMI) or computer human interfaces (CHI), formerly known as man-machine interfaces, are usually employed to communicate with PLCs and other computers, such as entering and monitoring temperatures or pressures for further automated control or emergency response. Service personnel who monitor and control these interfaces are often referred to as stationary engineers.
I. AutomationAssembly Line Balancing Problem Single and Two-Sided Structures
A Software Architecture for Cognitive Technical Systems Suitable for an Assembly Task in a Production Environment
II. Modeling and ControlTwo stage approaches for modeling pollutant emission of diesel engine based on Kriging model
An approach to obtain a PLC program from a DEVS model
A framework for simulating home control networks
Comparison of Defuzzification Methods: Automatic Control of Temperature and Flow in Heat Exchanger
Nonlinear Analysis and Design of Phase-Locked Loops
III. Estimation and Filter DesignMethods for parameter estimation and frequency control of piezoelectric transducers
Design of the Wave Digital Filters
IV. Intelligent ControlNeural PDF Control Strategy for a Hydroelectric Station Simulator
Intelligent Network System for Process Control: Applications, Challenges, Approaches
Neural Generalized Predictive Control for Industrial Processes
Forecasting, Diagnosis and Decision Making with Neural Networks and Self-Organizing Maps
Challenges of Middleware for the Internet of Things
Artificial Intelligence Methods in Fault Tolerant Control
A Real Time Expert System For Decision Making in Rotary Railcar Dumpers
Modular and Hybrid Expert System for Plant Asset Management
Image Retrieval System in Heterogeneous Database