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Self-tuning indirect adaptive control of non-inverting buck-boost converter

IET POWER ELECTRONICS 2015年第11期8卷 2299-2306页

作者： Hajizadeh, Amin Shahirinia, Amir H. Namjoo, Navid Yu, David C. Norwegian Univ Sci & Technol Dept Elect Power Engn N-7034 Trondheim Norway Alfred Univ Dept Renewable Energy Alfred NY 14802 USA Univ Shahrood Dept Elect Engn Shahrood Iran Univ Wisconsin Dept Elect Engn & Comp Appl Sci Milwaukee WI 53201 USA

This study presents an approach to system identification and adaptive control of a non-inverting buck-boost converter in the presence of large signal changes, uncertainty of converter components and effects of imperfect modelling. Feedback loops of DC-DC converters are typically designed conservatively so that the closed-loop regulation and stability margins are maintained over a pre-determined range of operating conditions. The proposed approach is able to keep a high-performance response without the instability issue of dynamic change of the converter. In the presence of uncertainty on the parameters of a DC-DC converter, a digital adaptive controller based on system identification and minimum degree pole placement is proposed. To verify the validity of the proposed digital controller, an experimental setup is constructed for a non-inverting buck-boost converter and the fully digital adaptive control is implemented by a micro controller. The experimental results show the capability of an adaptive controller during different operating points.

关键词： DC-DC power convertors power engineering computing control engineering computing digital control adaptive control self-adjusting systems identification feedback closed loop systems stability pole assignment microcontrollers self-tuning indirect digital adaptive controller noninverting buck-boost converter system identification imperfect modelling feedback loops DC-DC converters closed-loop regulation stability margins parameter uncertainty minimum degree pole placement microcontroller

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Dynamic control systems for AGVs

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computing & control engineering JOURNAL 1996年第4期7卷 169-176页

作者： Bostel, AJ Sagar, VK Dept. of Electron. Syst. Eng. Essex Univ. Colchester UK

AGVs are automatic load carriers that transfer objects from one location to another in a factory environment. Due to the increasing complexity of factory floor environments coupled with the need for increased flexibility in AGV systems, it is becoming increasingly important to be able to cont;ol AGV fleets dynamically. In this article, a neural-network-based method for controlling AGVs is presented.

关键词： Transportation system control traffic control neurocontrollers dynamic control systems Robotics AGV control Mobile robots factory environment neural network based method automatic guided vehicles automatic load carriers control applications in manufacturing processes Traffic engineering computing industrial robots AGV systems control engineering computing factory floor environments Manufacturing processes Neural computing techniques Industrial applications of IT

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Automating the digital broadcast process: control, complexity and cost

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ELECTRONICS & COMMUNICATION engineering JOURNAL 2001年第3期13卷 101-116页

作者： Meechan, M Encoda Syst Basingstoke RG24 8WD Hants England

Ten years of technical, commercial and organisational change have impacted profoundly on the traditional broadcast model. Key developments in data compression, storage and transmission technologies over this period have rendered legacy operational methodologies and manual practices of control of broadcast devices outmoded, unreliable and financially untenable. This paper discusses why the migration towards sophisticated, fully-automated multichannel broadcast environments is inevitable if staffing efficiency, revenue generation and consumer satisfaction are to be maximised and maintained, and details the many facets of the design process that must be considered if successful implementation is to result.

关键词： broadcast devices cost complexity video servers DVB data compression digital video broadcasting Video on demand and video servers VoD telecommunication control fully-automated multichannel broadcast environments design process control applications in video and audio techniques video on demand digital broadcast process video databases transmission technologies control control engineering computing storage Radio and television broadcasting computerised control Spatial and pictorial databases

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Fuzzy optimisation based control of a solar array system

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IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS 1999年第5期146卷 552-558页

作者： Simoes, MG Franceschetti, NN Univ Sao Paulo EP PMC BR-05508900 Sao Paulo Brazil

The authors describe the analysis, modelling and implementation of a fuzzy based photovoltaic peak power tracking system. The maximum power of a photovoltaic system changes with temperature, solar intensity and load. An analytical model is built for the solar cell on the basis of the manufacturer's characteristics. The solar panel is integrated with the converter model and a fuzzy algorithm is developed, so as to perform an online search procedure to track the maximum power continuously. The system is implemented by an inexpensive RISC microcontroller. Experimental results have shown excellent performance, robustness with parameter variation and modularity for parallel operation at higher power. The system is ready and easy to fit into existing installations.

关键词： control engineering computing fuzzy control solar cell arrays Power engineering computing Power convertors and power supplies to apparatus fuzzy algorithm photovoltaic power systems robustness control system analysis power converter model Solar cells and arrays power convertors optimal control Optimal control control performance control simulation control design control system synthesis fuzzy optimisation based control control system analysis and synthesis methods Fuzzy control control of electric power systems Solar power stations and photovoltaic power systems PV power system photovoltaic peak power tracking system power system control RISC microcontroller robust control Stability in control theory solar array system modularity Power system control

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MICROPROCESSOR control OF A HIDDEN-LINK CONVERTER DRIVE

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IEE PROCEEDINGS-B ELECTRIC POWER APPLICATIONS 1985年第2期132卷 87-92页

作者： CHAPPELL, PH DAVIS, RM UNIV NOTTINGHAM DEPT ELECT & ELECTR ENGN NOTTINGHAM NG7 2RD ENGLAND

This synchronous motor drive, unlike the DC link convertor drive, has a single mode of operation from starting to above synchronous speeds. The simple control scheme requires synchronism to the supply waveforms and rotor position. Hardware, software and interface circuits for a Z80 microprocessor-based controller are described. A modest clock rate of 2.5 MHz is sufficient and still leaves the microprocessor 88% idle. High levels of control, and possibly some diagnostic features, can therefore be included.

关键词： Programmable controllers control engineering computing electric drives programmed control controllers synchronous speeds Drives Z80 microprocessor-based controller computerised control Power convertors and power supplies to apparatus power convertors Power engineering computing synchronous motor drive synchronous motors programmable controllers rotor position Synchronous machines control of electric power systems

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A robust non-linear MPC framework for control of underwater vehicle manipulator systems under high-level tasks

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IET control THEORY AND APPLICATIONS 2021年第3期15卷 323-337页

作者： Nikou, Alexandros Verginis, Christos K. Heshmati-alamdari, Shahab Dimarogonas, Dimos, V KTH Royal Inst Technol Sch Elect Engn & Comp Sci Div Decis & Control Syst Malvinas Vag 10 SE-10044 Stockholm Sweden

Over the last years, the development and control of Autonomous Underwater Vehicles with attached robotic manipulators, also called Underwater Vehicle Manipulator System (UVMS), has gained significant research attention. In such applications, feedback controllers which guarantee that the end-effector of the UVMS is fulfilling desired complex tasks should be designed in a way that state and input constraints are taken into consideration. Furthermore, due to their complicated structure, unmodeled dynamics as well as external disturbances may arise. Complex tasks can be conveniently given in the so-called Linear Temporal Logic (LTL). Motivated by this, the authors develop a combined abstraction and control synthesis framework in which, given the uncertain kinematics/dynamics of the UVMS, a workspace divided into Regions of Interest and a desired LTL task, a sequence of feedback control laws that probably guarantee the LTL formula is provided. The proposed controller falls within the tube-based non-linear model predictive control methodology and can handle the rich expressivity of LTL in both safety and reachability specifications. Numerical simulations verify the validity of the proposed framework.

关键词： Spatial variables control Mobile robots Manipulators Formal logic control engineering computing Robot and manipulator mechanics control system analysis and synthesis methods Stability in control theory Optimal control Self-adjusting control systems Nonlinear control systems

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Real-time hardware- and software-in-the-loop simulation of decentralised distribution network control architecture

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IET GENERATION TRANSMISSION & DISTRIBUTION 2017年第12期11卷 3057-3064页

作者： Tuominen, Ville Reponen, Hannu Kulmala, Anna Lu, Shengye Repo, Sami Tampere Univ Technol Dept Elect Engn Korkeakoulunkatu 1 Tampere 33720 Finland VTT Tekniikankatu 1 Tampere 33720 Finland

This study introduces a laboratory test set up developed to evaluate the functionality of a novel decentralised distribution automation architecture. The demonstration system consists of a simulated distribution network in real-time simulation environment including simulated monitoring and control devices as well as physical devices interfaced with the simulator as hardware-in-the-loop test devices. System involves also substation automation units for real-time monitoring and control that are interfaced with the simulator and physical devices. The operating principle of the system is demonstrated with an example simulation case. The main goal for this system was to test the functionality of the decentralised distribution automation architecture and track out any potential interfacing issues of automation system before implementing the concept to actual field demonstrations. Based on the tests executed with the system described in this study, the proper functionality of all the features of the automation architecture was verified and successfully deployed at the field test sites.

关键词： power distribution control control engineering computing hardware-in-the loop simulation power system simulation substation automation real-time hardware-in-the-loop test device simulation software-in-the-loop simulation decentralised distribution network control architecture decentralised distribution automation architecture substation automation

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On model-based detectors for linear time-invariant stochastic systems under sensor attacks

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IET control THEORY AND APPLICATIONS 2019年第8期13卷 1051-1061页

作者： Murguia, Carlos Ruths, Justin Univ Melbourne Dept Elect & Elect Engn Melbourne Vic Australia Univ Texas Dallas Dept Mech Engn Richardson TX 75083 USA

A vector-valued model-based cumulative sum (CUSUM) procedure is proposed for identifying faulty/falsified sensor measurements. First, given the system dynamics, the authors derive tools for tuning the CUSUM procedure in the fault/attack-free case to fulfil the desired detection performance (in terms of false alarm rate). They use the widely-used chi-squared fault/attack detection procedure as a benchmark to compare the performance of the CUSUM. In particular, they characterise the state degradation that a class of attacks can induce the system while enforcing that the detectors (CUSUM and chi-squared) do not raise alarms. In doing so, they find the upper bound of state degradation that is possible by an undetected attacker. They quantify the advantage of using a dynamic detector (CUSUM), which leverages the history of the state, over a static detector (chi-squared), which uses a single measurement at a time. Simulations of a chemical reactor with a heat exchanger are presented to illustrate the performance of their tools.

关键词： Kalman filters stochastic systems linear systems stochastic processes control engineering computing vectors control system security dynamic detector static detector model-based detectors sensor attacks vector-valued model-based cumulative sum procedure sensor measurements CUSUM procedure false alarm rate state degradation linear time-invariant stochastic systems fault-attack-free case chi-squared fault-attack detection procedure chemical reactor heat exchanger

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Online Identification and Stochastic control for Autonomous Internal Combustion Engines

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JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND control-TRANSACTIONS OF THE ASME 2010年第2期132卷 024504页

作者： Malikopoulos, Andreas A. Papalambros, Panos Y. Assanis, Dennis N. Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA

Advanced internal combustion engine technologies have afforded an increase in the number of controllable variables and the ability to optimize engine operation. Values for these variables are determined during engine calibration by means of a tabular static correlation between the controllable variables and the corresponding steady-state engine operating points to achieve desirable engine performance, for example, in fuel economy, pollutant emissions, and engine acceleration. In engine use, table values are interpolated to match actual operating points. State-of-the-art calibration methods cannot guarantee continuously the optimal engine operation for the entire operating domain, especially in transient cases encountered in the driving styles of different drivers. This article presents brief theory and algorithmic implementation that make the engine an autonomous intelligent system capable of learning the required values of controllable variables in real time while operating a vehicle. The engine controller progressively perceives the driver's driving style and eventually learns to operate in a manner that optimizes specified performance criteria. A gasoline engine model, which learns to optimize fuel economy with respect to spark ignition timing, demonstrates the approach. [DOI: 10.1115/1.4000819]

关键词： Calibration Internal combustion engines Vehicles Steady state Gasoline engines Emissions control engineering computing Fuel efficiency Transients (Dynamics) control equipment mechanical engineering computing Ignition Corporate average fuel economy internal combustion engines Engines

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DEMAND-ASSIGNED MULTIPLE-ACCESS SYSTEMS USING COLLISION-TYPE REQUEST CHANNELS - STABILITY AND DELAY CONSIDERATIONS

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IEE PROCEEDINGS-E COMPUTERS AND DIGITAL TECHNIQUES 1981年第1期128卷 37-43页

作者： RAPPAPORT, SS Department of Electrical Engineering State University of New York Stony Brook USA

Stability and delay characteristics are developed for a demand-assigned multiple-access (DAMA) scheme which employs multiple message channels and multiple collision-type request channels, and which is capable of high traffic capacity. Trade-offs among delay, stability, and bandwidth utilisation, are investigated using an approximate analysis based on expected value-performance measurements. It is shown that by operating only a few per cent below capacity a dramatic decrease in average delay is attainable while maintaining absolute stability. The scheme is particularly appropriate for single-channel-per-carrier applications with many low-duty-cycle users.

关键词： stability delay control engineering computing multiple message channels demand-assigned multiple-access computer networks digital control distributed processing multivariable control systems Computer networks and techniques collision-type request channels expected value-performance measurements

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