Control design for switched systems using passivity indices
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This paper presents a framework for control design of interconnected nonlinear switched systems using passivity and passivity indices. Background material is presented on the concept of passivity indices for continuously-varying systems. The passivity indices are then generalized to apply to switched systems to measure the level of passivity in a system. The main result of the paper shows how the indices can be compared between two systems in feedback to verify stability. It is explained how this theorem can be used as a control design tool for general nonlinear switched systems. An example is provided to demonstrate this design method. The connection between passivity indices and conic systems theory is summarized in the appendix.Keywords:
Passivity
Conic section
Control systems are pervasive in our lives. Our homes have environmental controls. The appliances we use, such as the washing machine, microwave, etc. carry embedded controllers in them. We fly in airplanes and drive automobiles that extensively use control systems. The industrial plants that produce consumer goods run on process control systems. The recent drive toward automation has increased our reliance on control systems technology. This book discusses control systems design from a model-based perspective for dynamic system models of single-input single-output type. The emphasis in this book is on understanding and applying the techniques that enable the design of effective control systems in multiple engineering disciplines. The book covers both time-domain and the frequency-domain design methods, as well as controller design for both continuous-time and discrete-time systems. MATLAB© and its Control Systems Toolbox are extensively used for design. Technical topics discussed in the book include: • Mathematical models of physical systems • Analysis of transfer function and state variable models • Control systems design objectives • Control system design with root locus • Control system design in the state-space • Control system design of sampled-data systems • Compensator design with frequency response methods
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Toolbox
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Flow rate is one of the important parameters in industrial and agricultural engineering, especially in the chemical, metallurgy, petroleum and other industries. However, the actual industrial production process often has the characteristics of nonlinear, time-varying uncertainty, it is difficult to establish a precise mathematical model, the application of the conventional controller can not achieve the desired control effect. Aiming at this problem, this paper presents a traffic control system based on expert PID. This system takes PLC S7-1500 as the main controller, uses expert PID control algorithm to form a closed loop control system, so as to realize the control of the flow rate. The debugging results show that the control system is stable and can achieve the control of the flow quickly and accurately.
Automatic control
Industrial control system
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Autopilot
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This paper introduces control system with multi units A.C motor of synchronous-driving,It has introduced the method of the system design.Mainly,the paper analyses and designs the three units of the synchronous control system,takes the coil unit as the example to explain,and builds up the relative mathematical model.Basing on the mathematical model,the configuration of control system has been founded.In aspect of the control algorithm,Advanced Control Strategy which includes parameter adaptive,signal adaptive,expert control has been applied in the system.The control system is made up with OMRON CJ1M PLC.Experiment result indicates that the multi units synchronous control system has better robust and gets the effect.
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Process control refers to the methods that are used to control process variables when manufacturing a product or controlling any parameter. In today’s modern plants, to achieve control, several elements are coordinated together to achieve the control objective. Process control is an engineering discipline that deals with architectures, mechanisms and algorithms for controlling the output of a specific process within a desired range. In any instrumentation system, the control objective can be accomplished by designing proper control system for a specific purpose. Control can either be manual or automatic. Manual control involves the controlling process parameter to a specific value using human intervention. In automatic control, no human intervention is required rather sensors, controllers, actuators and other control elements are used to automatically control a system to maintain the system parameters to desired levels. This paper will explain the process control and different types of control loops.
Automatic control
Advanced process control
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The submitted monograph deals with the design of robotic arm fuzzy control and its implementation in the PLC-based control system. In the introduction section, the robots and their control systems, as well as their properties and the possible solutions for the selected control tasks are analyzed. Then the author focuses on fuzzy control integration within the systems of the Siemens PLC company. Subsequently, the aims of the monograph and related subject matters to be investigated are defined. The main aim is to propose and implement the control for a robotic arm, whose mathematical model is unknown. The robotic arm, for which the control system has to be proposed, is described in detail. This section is followed by chapters focused on the design itself, its implementation and testing of the individual parts of the control system as a whole. The last chapter deals with analyzing the achieved results.
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It is not so difficult to design a fully automatic control system for the chemical plant, if control engineers and instrumentation engineers understand the static and dynamic characteristics of that plant. However the behavior of those plants specially so-called bio-plants is not easily measured and understood. If a plant in an organization does not perform a vital role or dose not require very accurate control, a relatively simple control system, i.e. only to maintain the plant at its current state or prevent it from moving into abnormal states, may be sufficient from point of view of reducing the operative personnel. The aim of this study is to establish the effectiveness of the autonomous control system for such a situation.
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Instrumentation
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