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Speed sensorless linear parameter variant H∞ control of the induction motor

D. Fodor, R. Toth
2004 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)  
Abstract-The paper shows the design of a robust control structure for the speed sensorless vector control of the IM, based on the mixed sensitivity (MS) linear parameter variant (LPV) H control theory.  ...  Based on this method, a LPV H controller can be designed for the LPV model of the IM, because (3) fulfils Condition #1 and Condition #2.  ... 
doi:10.1109/cdc.2004.1429449 fatcat:2wmcfsulgrbbviour3uyxdhu4m

Computationally efficient model predictive control for a class of linear parameter-varying systems

Luca Cavanini, Gionata Cimini, Gianluca Ippoliti
2018 IET Control Theory & Applications  
The use of linear parameter varying (LPV) prediction models has been proven to be an effective solution to develop model predictive control (MPC) algorithms for linear and non-linear systems.  ...  Then they introduce a variant of the algorithm, able to further reduce this time, at the cost of a slightly increased sub-optimality.  ...  Moreover, if a non-linear model is available, for instance equation-based or identified through a neural network, a common approach is to linearise online the model at each time step around a time-varying  ... 
doi:10.1049/iet-cta.2017.1096 fatcat:wncbrucw6zao3l5gibfg4vhpbm

GPMC 2020 Proceedings

2020 2020 2nd IEEE International Conference on Gridding and Polytope Based Modelling and Control (GPMC)  
. • Feedback Linearization Based Induction Machine Control Abstract-This paper describes a Tensor Product (TP) based model via the inverted pendulum.  ...  Abstract Abstract-In this paper we introduce a new virtual test environment realized in MaxWhere which can be used to model and compare different control algorithms for a line follower robot. I.  ...  The completion of this project is funded by the European Union and co-financed by the European Social Fund. ACKNOWLEDGMENT The authors would like to thank…  ... 
doi:10.1109/gpmc50267.2020.9333817 fatcat:dqn3zean25g3zhwlpgxkysv33q

2007 Index IEEE Transactions on Automatic Control Vol. 52

2007 IEEE Transactions on Automatic Control  
., and Berman, N., H Control and Estimation of Retarded State-Multiplicative Stochastic Systems; TAC Sept. 1773Sept.  ...  ., Approximation Metrics for Discrete and Continuous Systems; TAC May 2007 782-798 Giua, A., see Basile, F., TAC Feb. 2007 306-311 Giua, A., Seatzu, C., and Corona, C., Oct. 2007 Oct.  ...  ., +, TAC Feb. 2007 371-377 Using an Observer to Transform Linear Systems Into Strictly Positive Real Systems.  ... 
doi:10.1109/tac.2007.913948 fatcat:vpztpth7jnhk7b5o5bt2nyrrdm

Certifying Unstability of Switched Systems Using Sum of Squares Programming

Benoît Legat, Pablo Parrilo, Raphaël Jungers
2020 SIAM Journal of Control and Optimization  
This alternative way of analysis of slow-fast systems with particular structure may lead to a later analysis of multi-timescale systems over networks.  ...  From an analysis and controller design point of view, it is known that GSPT and its adaptation to control systems [4], provide mathematical tools to understand the dynamics, and design controllers from  ...  Acknowledgment Step 1 consists of the state estimation and residual generation based on a state observer, while step 2 involves a decision system for fault detection and isolation.  ... 
doi:10.1137/18m1173460 fatcat:ytlzbwk7vbampbuyo6snenz33m

A Review on Fault Detection and Process Diagnostics in Industrial Processes

You-Jin Park, Shu-Kai S. Fan, Chia-Yu Hsu
2020 Processes  
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make an effective indicator which can identify faulty status of a process and then to take a proper action against  ...  In this paper, we present current research and developments of FDD approaches for process monitoring as well as a broad literature review of many useful FDD approaches.  ...  Furthermore, they introduced a fault tolerant observer to estimate unmeasured system states.  ... 
doi:10.3390/pr8091123 fatcat:hpcof76vijg7rjgwwbhdwexeg4

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
Then, the method based on reachability analysis is used to obtain the bounds of the system state. Finally, one example is simulated to prove the effectiveness of the designed interval observer.  ...  In this paper, a UAV swarm testbed is presented, which consist of an ultra-wide-band (UWB) positioning system, multiple UAVs and finite state machine based on Stateflow/Simulink.  ...  In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

Table of contents

2009 2009 17th Mediterranean Conference on Control and Automation  
The problem of state-feedback control design for discrete-time Takagi-Sugeno fuzzy systems is investigated in this paper.  ...  This paper deals with sufficient conditions of asymptotic stability for non linear discrete-time 2D systems represented by a Takagi-Sugenofuzzy model of Roesser type with state feedback control.  ...  It is based on the concept of TCI and aims to steer the drug effect to a predefined target value within an textit{apriori} fixed interval of time.  ... 
doi:10.1109/med.2009.5164498 fatcat:bi37lbkbhfaihj7lbc64vvplo4

A Comprehensive Review of Fault Diagnosis and Tolerant Control in DC-DC Converters for DC Microgrids

Shahamat Shahzad Khan, Huiqing Wen
2021 IEEE Access  
A shared leg FT operation for 5 channel 3 Level NPC back to back power converter operating a 250MW Doubly Fed Induction Machine was given in [70] .  ...  KF and its variants such as Adoptive Joint Extended Kalmen Filters (AJEKF) and Adoptive Dual Kalmen Filters (ADKF) are used to estimate the state of a dynamic system parameters with noisy measurements.  ...  Moreover, for the first time more detailed classification of fault diagnosis techniques is carried out and examples specific to these techniques are discussed, tabulated and categorized in a coherent manner  ... 
doi:10.1109/access.2021.3083721 fatcat:hpqaoa4y4bha3lao33ag4nunp4

Visual detection of vehicles using a bag-of-features approach

Pedro Pinto, Ana Tome, Vitor Santos
2013 2013 13th International Conference on Autonomous Robot Systems  
works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.  ...  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective  ...  Silva, A. Chauhan, and L. Lopes for the technical support and help.  ... 
doi:10.1109/robotica.2013.6623539 fatcat:ialsxj53yzfkfe5f766krtkkrq

Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation

Mohammad Javad Khodaei, Nicholas Candelino, Amin Mehrvarz, Nader Jalili
2020 IEEE Access  
, and probable directions for AP and automated anesthesia systems.  ...  Following a brief high-level overview of the main concepts in automated therapy and some relevant tools from systems and control theory, we explore -separately -the developments, challenges, state-of-the-art  ...  Recently, a new approach has been proposed, which is applicable to both induction and maintenance phases.  ... 
doi:10.1109/access.2020.2968440 fatcat:mfaueakdfjfonkjr3fxpmrks5a

Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation [article]

Mohammad Javad Khodaei, Nicholas Candelino, Amin Mehrvarz, Nader Jalili
2019 arXiv   pre-print
, and probable directions for AP and automated anesthesia systems.  ...  Following a brief high-level overview of the main concepts in automated therapy and some relevant tools from systems and control theory, we explore -- separately -- the developments, challenges, state-of-the-art  ...  Recently, a new approach has been proposed, which is applicable to both induction and maintenance phases.  ... 
arXiv:1910.03768v1 fatcat:bifxe57rsbg6bdaw25hh7aqxbe

Anti-windup Compensator Designs for Permanent Magnet Synchronous Motor Speed Regulation

Phil March, Matthew Turner
2007 2007 IEEE International Electric Machines & Drives Conference  
The industrial application chosen is an Electrically Powered Hydraulic Steering (EPHS) system in which complex constraints are applied to the currents flowing in and voltages applied to a three phase Permanent  ...  Some subtle extensions to the recent optimal synthesis routines are also presented that can offer improved flexibility in tuning and greater performance for certain systems.  ...  Not to be confused with the observer-based anti-windup methods of Aström and Glattfelder; here an observer is employed to recreate state estimates for the plant, allowing a state feedback control law to  ... 
doi:10.1109/iemdc.2007.382685 fatcat:ji6blmgkgbcgdg6ssaeh2w3e4u

PROCEEDINGS OF THE BRITISH PHARMACOLOGICAL SOCIETY CLINICAL PHARMACOLOGY SECTION 17–20 DECEMBER 2007 HILTON METROPOLE HOTEL, BRIGHTON

2008 British Journal of Clinical Pharmacology  
state and the extent of systemic accumulation at steady state would be similar for EMs and PMs.  ...  The glutathione conjugate observed in different systems in rats and in HLM was found to have a similar HPLC retention time.  ... 
doi:10.1111/j.1365-2125.2008.03204.x fatcat:s6yopzt5tncb7eq7r2pd37tc2u

Real-time identification of linear continuous-time systems with slowly time-varying parameters

A. Padilla, H. Garnier, P.C. Young, J. Yuz
2016 2016 IEEE 55th Conference on Decision and Control (CDC)  
Acknowledgements The Ph.D. is a long way to go and in this way I have met a lot of people that I would like to thank.  ...  First I would like to sincerely thank my supervisor Hugues Garnier and Peter Young for their advices and constant support. Their help has been crucial to complete my Ph.D.  ...  System identification As we already mentioned, in system identification the goal is to estimate a mathematical model of a given system (or process), based on observations of such system.  ... 
doi:10.1109/cdc.2016.7798837 dblp:conf/cdc/PadillaGYY16 fatcat:vafzyrdbcvgrrkf4gtjqbwub2a
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