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EPE 1995 - 26 - Dialogue Session DS1b: Control (I)
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1995 - Conference > EPE 1995 - 26 - Dialogue Session DS1b: Control (I)
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	SERIES RESONANT CONVERTER: GENERAL DESIGN OF AN IP REGULATOR WITH STATE FEEDBACK SWITCHING   By C. Collomb; P. Bidan; M. Valentin	[View]   [Download]
Abstract: Previous works have suggested an original control law for resonant converters. It consists of imposing an inverter switching for a particular state combination. Modelling studies showed that this control improves these converters dynamic features. These results are used to design a robust external loop for regulating the output voltage.
	APPLICATION OF DIRECT TORQUE CONTROL MODULATION TECHNOLOGY TO A LINE CONVERTER   By Vesa Manninen	[View]   [Download]
Abstract: This paper describes the new modulation method called direct torque control (DTC) applied to a 4-quadrant line-side converter using VSI construction. Power transferred to and from the line is based on hysteresis control of virtual torque generated between line emf and converter emf. Reactive power can be freely set to the desired value by controlling the length of the flux vector. These two hysteresis control loops enable very fast dynamic response to load brake step changes at the motor side stabilizing dc voltage to the desired reference in 10ms. The basic theory and measurement results showing the strengths of the method are given in this paper.
	FUZZY SELFTUNING SYSTEM FOR INDUCTION MOTOR CONTROLLERS   By F. Barrero; E. Gaivan; A. Torralba; L.G. Franquelo	[View]   [Download]
Abstract: Conventional fuzzy controllers have been recently proposed to implement vector control methods in induction motors. One of the most interesting problems in making fuzzy control a reality, is designing and adjusting the control rules. In this paper a new fuzzy-logic based method for the automatic tuning of the controller parameters is proposed. It changes the scaling factors of the inputs of the main fuzzy controller to achieve a good transient response. This system can be used not only for the initial tuning of the controller parameters, but during the ()n-line process as well. In this way, it can cope with changes in the plant parameters and load,disturbances.
	THE DEVELOPMENT OF A FUZZY CONTROLLER FOR TRACTIVE EFFORT OF A RESISTOR TECHNOLOGY LOCOMOTIVE   By W. Mörs; I. Shaw; J.D. van Wyk	[View]   [Download]
Abstract: The application of a rule based fuzzy controller, implementing human skill and experience to control tractive effort of a resistor technology locomotive, is presented. The fuzzy controller aims to smoothly and safely accelerate the train from standstill. The controller provides the operational consistency and feedback functions required for improved protection of the traction motors, locomotive, rails and load. A simulation model for the locomotive and load is included.
	MODULATION OF INVERTER OUTPUT VOLTAGES IN SLIDING MODE CONTROL OF AC MOTORS   By Zarko Cucej; Silva Hiti	[View]   [Download]
Abstract: The article addresses problems of the inverter switching state determination at sliding mode control in case of a three phase, voltage source inverter feeding a symmetrical AC motor drive system. In the brief overwiev of sliding mode control, the facts which directly influence the modulator design are highlighted. The properties of controlled system and three-phase inverters which influence the forming of the modulation are described. Three modulators with tabulated mappings are presented.
	INVESTIGATION AND COMPARISION OF NEURAL NETWORK APPLICATIONS TO THE CONTROL OF ELECTRICAL MACHINES   By G. Henneberger; B. Otto; A. Brösse	[View]   [Download]
Abstract: In the last decade there has been a lot of interest in the research on neural networks. The main applications are pattern recognition and speech identification. Furthermore neural networks are well suited to control nonlinear systems, as shown by Narendra et Partharasathy (4). But up to now there exist only a few practical applications to the control of electrical drives. Nevertheless neural networks are not only well suited for pattern recognition but also for identification and control of dynamical systems. This paper points out following control problem: a neural network based speed controller should adapt to a servo drive, which is a nonlinear, dynamical system. This is done using an offline learning technique and the backpropagation algorithm. The results are compared with the results of another controller such as the conventional state controller. The ability of neural networks to control electrical drives is shown by simulation results.
	SELF-TUNED FUZZY PI CURRENT CONTROLLER FOR PWM-VSI   By M.A. Dzieniakowski; M.P. Kazmierkowski	[View]   [Download]
Abstract: In the paper the control technique utilising Fuzzy Logic is compared with conventional PI control for the one phase VSI output current formation. The procedure of Fuzzy Logic Controller (FLC) design, as an evolution from PI Controller, is presented. The investigation results, which illustrate properties of the control techniques, are shown.
	A SYSTEMATIC APPROACH TO STATE FEEDBACK CONTROLLER DESIGN FOR DC/DC LINE-SIDE TRACTION CONVERTERS   By J. Böcker; C. Endrikat; S. Liu	[View]   [Download]
Abstract: The paper presents a systematic approach to state feedback controller design for DCtpC line-side traction converters. The general approach is demonstrated on one particular converter, which can be regarded as a multi-input multi-output system. It results in good closed-loop system dynamics even when no resistances are present.
	DIGITAL TRANSIENT TORQUE OR FORCE MEASUREMENT FOR ROTATING OR LINEAR AC MACHINES (Real time measurement)   By M.T. Nguyen; M. Tu Xuan; J.-J. Simond	[View]   [Download]
Abstract: The digital transient torque measuring device presented in this paper is able to make a "real time" calculation in steady-state and transient conditions of the electromagnetic torque or force of an extremely wide range of ac electrical machines supplied with sinusoidal voltages or through frequency converters with frequencies up to 30 kHz. The device needs no shaft position or speed sensors, it uses exclusively the acquisition of the stator currents and voltages. The main fields of applications are: test shop, control, measurement, integration in a control or regulation unit, element of a monitoring system.
	REDUCTION OF NARROW BAND HARMONICS IN THE LINE CURRENT OF AC-LOCOMOTIVES   By C. Endrikat	[View]   [Download]
Abstract: The four-quadrant converter is widely used as line-side converter for AC-Iocomotives . To prevent interference with signalling equipment, its control has to make sure that certain narrow band hannonics in the line current do not exceed specific limits. The paper presents two different approaches to actively reduce those narrow band harmonics. Also details for designing the appropriate controllers are given.
	FUZZY CONTROL OF A RECTIFIER WITH SINUSOIDAL WAVEFORMS   By M. Bonnet; A. Farjon; B. Durand	[View]   [Download]
Abstract: In this paper, the authors present a prototype of a sinusoidal rectifier controlled by fuzzy logic. The considered structure is constituted by a single phase diode rectifier followed by a boost chopper. The non-linear intrinsic characteristics of a fuzzy controller allow to take in account the whole constraints at the same time. Some experimental results are presented.
	NON-INVASIVE ROTOR POSITION AND SPEED SENSING OF ASYNCHRONOUS MOTORS   By D. Holliday; J.E. Fletcher; B.W. Williams	[View]   [Download]
Abstract: High bandwidth rotor position information is extracted from eccentricity current components present in the machine's supply lines, The proposed system: is non-invasive and uses standard,low-cost hardware corqponents. No .information other than the number of machine poles is required to be known about the machine. The resulting position information shows good agreement with results obtained using a shaft encoder. A speed measurement technique based upon the position information is proposed. Experimental results illustrate the validity and viability of the technique.
	SLIDING MODE CONTROL OF DC-TO-DC CONVERTERS WITH INPUT FILTER BASED ON THE LYAPUNOV-FUNCTION APPROACH   By B. Nicolas; M. Fadel; Y. Chéron	[View]   [Download]
Abstract: The presence of an input filter complicates considerably the regulator design for a given converter. Generally, closed-loop stability cannot be guaranteed for a low damped input filter. This paper presents a variable structure control law resulting in stable large signal behaviour, robustness towards external disturbances and satisfactory transient response.
	A Neural Network Controller for Power Converters based on a Computational Optimal Control Surface   By J.M. Carrasco; J.M. Quero; F.P. Ridao; L.G. Franquelo	[View]   [Download]
Abstract: A neural controller implementing an optimum algorithm as a control law is proposed as an alternative to control power converters. The algorithm minimizes a cost function in the system by computational simulation, generating a control surface. An agalog neural network (ANN) learns to approximate this control table by means of a learning algorithm. A simple electronic implementation of this controller is proposed and applied to PWM DC/DC power converter circuit. Experimental results show a good improvement in response to the circuit and confirms the validity of the neural network approach.
	GENERAL PURPOSE PWM NONLINEAR CONTROLLER FOR BIDIRECTIONAL SWITCHING CONVERTERS   By Carlos Garcia-Deza; Luis Martinez-Salamero; Alberto Poveda; Francisco Guinjoan; Josep Font	[View]   [Download]
Abstract: A standardized PWM nonlinear controller for bidirectional switching converters is described. The proposed circuit is suitable for large-signal applications and can be used in a large class of dc to dc switching converters. As a result, robustness and fast dynamic response against supply, load and parameter variations is obtained. The desing of a nonlinear control law for ideal load regulation in a boost converter with output filter is described to ilustrate the foundations of the controller.
	A TIME-DOMAIN SIMULATOR FOR POWER ELECTRONIC CONVERTERS BASED ON DISCRETE-TIME MODELING OF SWITCHES   By J.M. Burdio; A. Martinez	[View]   [Download]
Abstract: This paper describes a discrete-time state-space model for simulating any switched converter, in which switches are modeled as discrete-time systems. The formulation requires no previous knowledge of the circuit operation and it is valid for all operating conditions. Some classical modeling methods for power converters are derived from the formulation presented here. A simulation of a dc-dc converter illustrates the model.
	CHARACTERISTICS OF THE PWM-CONTROLLED QUASI-RESONANT CONVERTER   By R. Petkov; L. Hobson	[View]   [Download]
Abstract: This paper explores the analysis and optimum design of a PWM-controlled quasi-resonant converter which combines the favourable switching condition of the topology with the effective control approach. A full analysis and optimum design has been performed and analytical expressions for converter components selection have been deduced. Simulation and experimental results supporting the theory are presented.
	INVERTER AND MOTOR MODEL ADAPTATION AT STAND-STILL USING REFERENCE VOLTAGES AND MEASURED CURRENTS   By H. Rasmussen; M. Tonnes; M. Knudsen	[View]   [Download]
Abstract: A model adaptation method for estimating the electrical parameters of an induction motor at stand-still is described. The inverter nonlinearity caused by the turn on/off time dependency of the current level in the switching transistors is modeled allowing the method to be based on reference voltages and measured currents only. The method is verified both theoretically and experimentally.
	STUDY OF FUZZY CURRENT-CONTROLLED INVERTER DRIVES   By Bor-Ren Lin	[View]   [Download]
Abstract: In this paper, the fuzzy logic controller for current controlled PWM inverter drives is proposed. To get high performance ac motor drives, the fuzzy logic controller controls the inverter switching patterns based on fuzzy rules to derive three phase sinusoidal currents. The advantage of the proposed method is that no exact system mathematical model is needed. Since the switching frequency is constant, it is easy to reduce harmonics by designing a power filter. The theoretical principle of the proposed method is discussed and verified by computer simulations. Simulations show that the proposed scheme has good transient performance and low current error.
	FUZZY TUNING FOR SERVO CONTROL: A DOUBLE RATIO APPROACH   By T.T. Truong; W. Hofmann	[View]   [Download]
Abstract: This paper presents a new approach to fuzzy tuning of linear controllers for improved transient performance. Using the characteristic frequencies or the corresponding products of double ratios as tuning parameters, the proposed approach is applicable to Single-Input Single Output control systems with Input-Output representation. Within a conceptual framework, the on-line tuned systems exhibit some basic properties of linear systems. This eases the design procedure, including parameter optimization and stability testing, strongly. With a novel fuzzy tuner, considerable transient performance improvements can be obtained at small cost. The new method is tested by several examples including a servomotor position control.
	An Analog Neural Network Controller for an Active Power Filter Based on the Instantaneous Reactive Power Theory   By J.M. Carrasco; J.M. Quero; R. Gomez; L.G. Franquelo	[View]   [Download]
Abstract: A neural controller implementing a control strategy of active power filters using switching devices is proposed on the basis of the instantaneous reactive power theory. This is an alternative to implement the controller in these kind of power circuits versus complex classical analog implementations. The properties of the instantaneous power theory are analyzed and as a result, it is possible generate a surface to calculate the instantaneous active and reactive power. An analog neural network (ANN) learns to approximate the surfaces by means of a learning algorithm. A simple electronic implementation of this controller is proposed. This realization is simpler than those previously proposed based on analog multipliers and dividers. Simulation results are summarized confirming the validity of the neural network approach.
	NEURAL NETWORK-BASED PARAMETER ADAPTION FOR FIELD-ORIENTED AC-DRIVES   By Wilfried Hofmann; Qinglong Liang	[View]   [Download]
Abstract: Modern high dynamic drive systems controlled by field-orientation require a precise modeling of the induction motor. Because of the parameter changing in reality it is necessary to analyze the model error. New ways with neural network can be adapted by the changed parameters of induction motor during the running. The training of neural network is through classified patterns by error of outputs between induction motor and computation model. The new configuration has been verified by simulation result.
	POSITION CONTROL OF PERMANENT MAGNETS SYNCHRONOUS MOTOR DRIVE WITH 3D FUZZY CONTROLLER   By V. Racek; P. Kucer; B. Dobrucky; F. Chaloupka	[View]   [Download]
Abstract: The present paper deals with the development of a three dimensional fuzzy controller, suitable for position and speed regulation of electric servodrivers using a novel fuzzy logic approach. The conventional position control scheme with serial connection of controllers - proportional position with fuzzy speed and also two dimensional fuzzy position controller with different output values are shown. Three dimensional fuzzy position controller - three inputs and one output is introduced as new kind of fuzzy controller. A practical comparison between different control schemes is shown in the paper. Synchronous motor with permanent magnets fed by current regulated voltage source inverter have been considered as controlled system. A various modification of input and output values are mentioned in the paper.
	PWM CONVERTER USING INSTANTANEOUS CURRENT DETECTION FOR LINEAR GENERATOR OF MAGLEV VEHICLE   By Tomoki Watanabe; Noriko Takeuchi; Hirohisa Ueno; Sumio Nagabuchi; Hideki Hay Ashi; Yoshitada Saitou	[View]   [Download]
Abstract: For on-board power supply of Maglev vehicle using EDS (electrodynamic suspension) system and superconducting magnets (SCM), an inductive power collection (hereinafter to be referred to as linear generator) method is proposed. We have developed a PWM converter with a unity power factor control, which functions just like the active capacitor, using IGBT and instantaneous current control. We achieved a power factor X efficiency value of 0.97 in a stationary experiment of the system.
	NEURAL MODEL PREDICTIVE CONTROL OF AN INDUCTION MOTOR   By L. Krüger; D. Naunin; A. Hidiroglu; D. Neumerkel; J. Franz	[View]   [Download]
Abstract: A field-oriented control of the speed of an induction motor has been built up with a Model Predictive Controller in the q-path using a Neural Network model of the process dynamics. The control algorithms have been implemented on a Multi-Transputer system. Different neural structures are compared in regard of the computational expenses and modelling quality.
	NEURAL NETWORK CURRENT CONTROL OF VS-PWM INVERTERS   By M. P. Kazmierkowski; D. L. Sobczuk; M. A. Dzieniakowski	[View]   [Download]
Abstract: This paper presents the application of Neural Network (NN) for control of three phase PWM inverter output currents. Two systems are presented. In the first a single layer perceptron with precalculated weights is applied. With modified sampling technique the NN controller always chooses adjacent active vectors or zero vector. Moreover, this simple one layer NN controller is very robust and can work correctly without information in one of three phases. In the second part the feedforward multilayer based NN controller trained off line by a model PWM pattern generated by optimal current control algorithm is presented. It is shown that three layers feedforward NN is able to regulate PWM inverter output current very well without on-line calculations needed in the case of the optimal controller. The performances of the proposed NN controllers are illustrated by simulation and experimental results.
	MULTI-MOTOR DRIVES FOR TEXTILE MACHINES   By P.-K. Budig	[View]   [Download]
Abstract: In textile-machines there are rotating, oscillating and linear motions. A big amount of mechanical gears is necessary for the realisation of these motions. Multi-motor drives give the chance to achieve a higher flexibility, lower noise rate, reduction of the amount of mechanical components. Practical realisations are discussed.