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检索条件"任意字段=5th IFAC Symposium on Modelling and Control in Biomedical Systems"

共 781 条记录，以下是21-30 订阅

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An Intelligent Hybrid Fuzzy PI controller for Performance Analysis of Permanent Magnet Synchronous Motor 5

An Intelligent Hybrid Fuzzy PI controller for Performance An...

引用

5th International Conference on Smart systems and Inventive Technology, ICSSIT 2023

作者： Lakshmipriya, N. Ayyappan, S. Prabu, R. Hariprabhu, M. Jai Shriram Engineering College Dept. of Electrical and Electronics Engineering Tamil Nadu India Ksr Institute for Engineering and Technology Dept. of Biomedical Engineering Tamil Nadu Namakkal India M.Kumarasamy College of Engineering Department of Electrical and Electronics Engineering Karur India

ISBN: (纸本)9781665474672

the Conventional AC drives are replaced by the Permanent Magnet motor drives in various applications due to its brushless, efficiency and minimal weight. In industiial applications, Proportional-Integral (P1) controllers are largely employed in PMSM drives and it's a very simple controller that results in adequate performance. appropriate controller modelling is required for the PMS M for regulating the speed so that it becomes more suitable for numerous industrial applications where high precision and high performance is required. this paper oroooses a novel control method to improve the performance of the Permanent Magnet Synchronous Motor (PMS M) system. A simulation of the entire system is built in MATLAB to control the speed of the machines. the hybrid soft computing controllers are orooosed by using stochastic slime mould algorithm (S MA). back prooagated soiking neural network (BPSNN) and fuzzy inference svstem based Proportional - Integral (PD controller and it improves the speed performance of PMSM drives. © 2023 IEEE.

关键词： controllers

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Event-Triggered Anti-disturbance Tracking control of non-Gaussian Stochastic Distribution systems with Exogenous Disturbances 5

Event-Triggered Anti-disturbance Tracking Control of non-Gau...

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5th International symposium on Autonomous systems, ISAS 2022

作者： Wu, Xudong Zhou, Peng Yi, Yang Cao, Songyin Yangzhou University College of Information Engineering Yangzhou China

ISBN: (纸本)9781665487085

this paper presents an anti-disturbance PI control scheme for non-Gaussian stochastic systems subject to exogenous disturbances under an event-triggered mechanism. the objective is to control the output probability density function (PDF) of the system to track a given objective function. Firstly, the square root B-spline is commonly used as a tool for modelling the system output PDFs, and the PDF tracking control problem can be transformed into a finite dimensional dynamic vector tracking control problem. Secondly, the event-triggered mechanism is introduced into the control system, the disturbance observer based control (DOBC) method is used to estimate the unknown external disturbance and combine the state feedback to design a PI type dynamic tracking controller. Moreover, by designing the solution with a lower bound on the minimum trigger interval for event trigger greater than zero, it ensures that the Zeno phenomenon in the event-triggered mechanism can be avoided. Finally, the analysis of convex optimization theory guarantees the good system stability, target dynamic tracking and robustness of the stochastic distribution system. the effectiveness of the method is verified by simulating the styrene molecular weight distribution (MWD) model. © 2022 IEEE.

关键词： Probability density function

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Covariance control for discrete-time stochastic switched linear systems 10th

Covariance control for discrete-time stochastic switched lin...

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10th ifac symposium on Robust control Design (ROCOND)

作者： Fiacchini, Mirko Alamo, Teodoro Univ Grenoble Alpes GIPSA Lab Grenoble INP CNRS F-38000 Grenoble France Univ Seville Dept Ingn Sistemas & Automat Seville 41092 Spain

this paper deals with the covariance control for discrete-time linear switched systems affected by additive stochastic noises. Given any periodic stabilizing switching law for the deterministic system associated to the stochastic one, a finite set of matrices is characterized that is an attractor for the system state covariance matrix sequence. Moreover, upper and lower bounds on the covariance matrices of the state are determined by the trajectories of one-dimensional linear systems. Copyright (C) 2022 the Authors.

关键词： Covariance control stabilizability switched systems

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Joint Stabilization and Regret Minimization through Switching in Over-Actuated systems 10th

Joint Stabilization and Regret Minimization through Switchin...

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10th ifac symposium on Robust control Design (ROCOND)

作者： Chekan, Jafar Abbaszadeh Azizzadenesheli, Kamyar Langbort, Cedric Univ Illinois Coordinated Sci Lab Champaign IL 61820 USA Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

Adaptively controlling and minimizing regret in unknown dynamical systems while controlling the growth of the system state is crucial in real-world applications. In this work, we study the problem of stabilization and regret minimization of linear over-actuated dynamical systems. We propose an optimism-based algorithm that leverages possibility of switching between actuating modes in order to alleviate state explosion during initial time steps. We theoretically study the rate at which our algorithm learns a stabilizing controller and prove that it achieves a regret upper bound of O(root T). Copyright (C) 2022 the Authors.

关键词： Adaptive control Regret Bound Model-Based Reinforcement Learning Actuator Redundancy stabilization

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Organizational Mechanisms to Promote Energy Efficiency 11th

Organizational Mechanisms to Promote Energy Efficiency

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11th ifac symposium on control of Power and Energy systems (CPES)

作者： Enaleev, A. VA Trapeznikov Inst Control Sci Moscow 117997 Russia

Methods of increasing the energy efficiency of production by optimizing the procedures for organizing the selection of priority projects and building mechanisms for planning and stimulating the reduction of energy costs are considered. the directions for solving the problems of increasing energy efficiency are determined by an analysis the regulations and orders for the management of production processes in a large Russian corporation of railway transport. When designing an optimal mechanism, the interests of the Principal and production personnel are coordinated. this alignment encourages production personnel to report valid information to the Principal and execute plans. Copyright (C) 2022 the Authors.

关键词： Decision making in complex systems mechanism modelling incentive planning project selecting energy costs

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COMPONENT BASED AGGREGATE LOAD modelling OF MODERN LOADS 11th

COMPONENT BASED AGGREGATE LOAD MODELLING OF MODERN LOADS

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11th ifac symposium on control of Power and Energy systems (CPES)

作者： Neupane, Pradip Silwal, Bishal Katuwal, Sagun Adhikary, Brijesh Kathmandu Univ Dept Elect & Elect Engn Dhulikhel Nepal

modelling of the different power system components is very essential for the adequate operation and planning of the network. Load modelling is one of the areas in power system engineering that is often overlooked but has a considerable impact on power system dynamics Load modelling still needs further investigation to develop an adequate and precise load model. Consumer's demand depends on their behaviour, seasonal factor, time factor and other exogenous factors. It is a challenging task to maintain the power quality, stability and adequacy of the system with a changing load behaviour. this paper focuses on the mathematical representation of residential and commercial load characteristics of a distribution feeder from bottom-up approach. A composite static load modelling approach is presented in the paper, which is classified into three major sections i.e. load inventory survey, laboratory experiment and parameter estimation Consumer's load behaviour and appliances have been determined from the survey. Similarly, voltage -power correlation of load from laboratory experiments assist to classify the consumer's load and parameter estimation is based on the load composition of a certain time duration. Load composition here incorporates the duty cycle and weekly factor along with other related consumer data. Copyright (C) 2022 the Authors.

关键词： Laboratory experiment Load inventory survey Parameter estimation Load modelling

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Flexible object-oriented modelling for the control of large gas networks 11th

Flexible object-oriented modelling for the control of large ...

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11th ifac symposium on control of Power and Energy systems (CPES)

作者： De Pascali, Matteo Luigi Bosotti, Simone Curatolo, Paolo Ghilardi, Lavinia Marina Paola Casella, Francesco Martelli, Emanuele Barbati, Daniele Palazzo, Roberto Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy Politecn Milan Dipartimento Energia Milan Italy Snam Rete Gas San Donato Milanese MI Italy

In this work we develop an innovative framework for the dynamic modelling of natural gas transmission networks. thanks to its flexibility, this tool may be used to support operation of the network while also giving the possibility to explore and test new optimized scenarios, introduce new elements in the grid itself (ranging from new branches to new machines) and test the use of new gas mixtures. We use as benchmark the Italian high pressure gas transportation network, executing simulations of past daily operation scenarios. Results are compared to real measurements so to prove the validity of the adopted approach. Copyright (C) 2022 the Authors.

关键词： Natural gas networks dynamic modelling simulation Modelica

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Robust input redundancy for uncertain systems 10th

Robust input redundancy for uncertain systems

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10th ifac symposium on Robust control Design (ROCOND)

作者： Kreiss, Jeremie Jungers, Marc Univ Lorraine CRAN CNRS F-54000 Nancy France

For input redundant linear systems, it is possible to construct distinct inputs producing identical outputs, from the same initial state. thus selecting an output does not determine uniquely the input, i.e., there exist degrees of freedom related to the choice of inputs to generate a given output. these degrees of freedom can be used to enhance the system performances without altering the output. However their determination might depend on system parameters. When some of them are not known or uncertain, it may be difficult or impossible to design distinct inputs leading to the same output. Considering uncertainties in linear systems, this paper determines if such degrees of freedom exist independently from the uncertain parameters and, in this case, provides a methodology to compute these inputs. this corresponds to the new concept of robust input redundancy, which is defined and characterized in this paper. Copyright (C) 2022 the Authors.

关键词： Uncertainty input redundancy geometric control theory robust control

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Fractional Order Robust controller for Fractional-Order Interval Plants 10th

Fractional Order Robust Controller for Fractional-Order Inte...

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10th ifac symposium on Robust control Design (ROCOND)

作者： Mihaly, Vlad Susca, Mircea Dulf, Eva H. Morar, Dora Dobra, Petru Tech Univ Cluj Napoca Dept Automat Cluj Napoca Romania

Fractional order (FO) calculus in modelling and control applications has been increasingly popular in every scientific field due to its versatility and superiority in various instances. Moreover, the models' parameters present uncertainties, called intervals. However, the main issue of fractional order elements is related to their implementation. Usually, integer order elements are used through different approximation methods to implement such elements. None of the existing methods discuss the introduction of a fractional element in a fixed-structure robust synthesis method. the objects from the MATLAB's Robust control Toolbox could not be implied in other than well-known arithmetic operations between the parameters of the fixed-structure controllers, while existing approximations use exponential terms. To overcome this shortcoming, this work proposes and offers the algorithm for an approximation method useful in robust controller synthesis, which is validated for several numerical case studies. Copyright (C) 2022 the Authors.

关键词： Robust control fractional-order systems robustness analysis parameter-varying systems robust controller synthesis

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Linear Time Invariant Approximation for Subspace Identification of Linear Periodic systems Applied to Wind Turbines 11th

Linear Time Invariant Approximation for Subspace Identificat...

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11th International-Federation-of-Automatic-control (ifac) symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Cadoret, Ambroise Denimal, Enora Leroy, Jean-Marc Pfister, Jean-Lou Mevel, Laurent IFP Energies Nouvelles F-92852 Rueil Malmaison France Univ Gustave Eiffel I4S COSYS SII INRIA F-35042 Rennes France

In this paper, subspace identification for wind turbines and more generally rotating periodic systems are investigated. Previous works have stressed the difficulty of modeling such systems as Linear Time Invariant and thus to apply classical Stochastic Subspace Identification. Such works plead for periodic or augmented theories. In this paper, the classical SSI can be applied to recover modal information that is related to the eigenstructure of the instrumented system despite the system excitation being modeled as non-stationary. copyright (C) 2022 the Authors.

关键词： Subspace methods Vibration and modal analysis Time series modelling Signal and identification-based methods rotating machines Data-Driven methods

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