The Experts below are selected from a list of 246294 Experts worldwide ranked by ideXlab platform

Emil M. Petriu - One of the best experts on this subject based on the ideXlab platform.

  • Model-free sliding mode Control of nonlinear Systems
    Information Sciences, 2017
    Co-Authors: Radu-emil Precup, Raul-cristian Roman, Mircea-bogdan Radac, Emil M. Petriu
    Abstract:

    Two model-free sliding mode Control System (MFSMCS) Structures are proposed.The sliding mode Control of the tracking error dynamics is carried out.The design approaches specific to MFSMCS Structures are model-free in tuning.Lyapunov's stability theory is employed in the design approaches.The experimental validation on a twin rotor aerodynamic System is included. This paper proposes two model-free sliding mode Control System (MFSMCS) Structures. The new Structures are compared with a model-free intelligent proportional-integral (iPI) Control System Structure. Two simple design approaches for the MFSMCS Structures are suggested. The Control System Structures and the design approaches are validated by a set of real-time experimental results on a nonlinear laboratory twin rotor aerodynamic System (TRAS). The MFSMCS Structures are considered in the framework of a Multi Input-Multi Output TRAS Control System, where the azimuth and pitch positions are Controlled using separate Single Input-Single Output Control System Structures for each Control channel (azimuth and pitch). The experimental validation is carried out by two scenarios that illustrate and allow the assessment of the MFSMCS Structures performance and the comparison versus a model-free iPI Control System Structure as well. Display Omitted

  • ICIT - Data-driven optimal model-free Control of twin rotor aerodynamic Systems
    2015 IEEE International Conference on Industrial Technology (ICIT), 2015
    Co-Authors: Raul-cristian Roman, Mircea-bogdan Radac, Radu-emil Precup, Emil M. Petriu
    Abstract:

    This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic Systems. A discrete-time formulation of the algorithms is given in the framework of a MIMO Control System Structure with azimuth and pitch position Control loops. An optimal design approach of the MIMO MFC algorithms is proposed using a Linear Quadratic Regulator formulation. The sensitivity of the new MFC Structure with respect to parametric variations of the aerodynamic System is checked against two additional Structures that are also optimally designed. The case study also reveals how the sampling time influences the Control System performance.

Radu-emil Precup - One of the best experts on this subject based on the ideXlab platform.

  • second order intelligent proportional integral fuzzy Control of twin rotor aerodynamic Systems
    Procedia Computer Science, 2018
    Co-Authors: Raul-cristian Roman, Radu-emil Precup, Raducodrut David
    Abstract:

    Abstract This paper proposes a hybrid Controller that consists of a second order data–driven Model–Free Control (MFC), also known as intelligent proportional–integral (iPI), and a Takagi-Sugeno Fuzzy (TSF) logic Controller for nonlinear Multi Input–Multi Output (MIMO) twin rotor aerodynamic Systems (TRASs). The pitch position Control is carried out using a single input–single output Control System Structure. The hybrid Controller (the second order MFC algorithm and the TSF logic Controller) is referred to as second order MFC–TSF Controller. The performance of the Control System Structure (CSS) with the new second order MFC–TSF Controller is compared with the performance of a CSS with the second order MFC Controller, which is optimally tuned in a model-based manner by a Grey Wolf Optimizer algorithm. Experimental validation results on a nonlinear TRAS laboratory equipment are included.

  • ITQM - Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems
    Procedia Computer Science, 2018
    Co-Authors: Raul-cristian Roman, Radu-emil Precup, Raducodrut David
    Abstract:

    Abstract This paper proposes a hybrid Controller that consists of a second order data–driven Model–Free Control (MFC), also known as intelligent proportional–integral (iPI), and a Takagi-Sugeno Fuzzy (TSF) logic Controller for nonlinear Multi Input–Multi Output (MIMO) twin rotor aerodynamic Systems (TRASs). The pitch position Control is carried out using a single input–single output Control System Structure. The hybrid Controller (the second order MFC algorithm and the TSF logic Controller) is referred to as second order MFC–TSF Controller. The performance of the Control System Structure (CSS) with the new second order MFC–TSF Controller is compared with the performance of a CSS with the second order MFC Controller, which is optimally tuned in a model-based manner by a Grey Wolf Optimizer algorithm. Experimental validation results on a nonlinear TRAS laboratory equipment are included.

  • Model-free sliding mode Control of nonlinear Systems
    Information Sciences, 2017
    Co-Authors: Radu-emil Precup, Raul-cristian Roman, Mircea-bogdan Radac, Emil M. Petriu
    Abstract:

    Two model-free sliding mode Control System (MFSMCS) Structures are proposed.The sliding mode Control of the tracking error dynamics is carried out.The design approaches specific to MFSMCS Structures are model-free in tuning.Lyapunov's stability theory is employed in the design approaches.The experimental validation on a twin rotor aerodynamic System is included. This paper proposes two model-free sliding mode Control System (MFSMCS) Structures. The new Structures are compared with a model-free intelligent proportional-integral (iPI) Control System Structure. Two simple design approaches for the MFSMCS Structures are suggested. The Control System Structures and the design approaches are validated by a set of real-time experimental results on a nonlinear laboratory twin rotor aerodynamic System (TRAS). The MFSMCS Structures are considered in the framework of a Multi Input-Multi Output TRAS Control System, where the azimuth and pitch positions are Controlled using separate Single Input-Single Output Control System Structures for each Control channel (azimuth and pitch). The experimental validation is carried out by two scenarios that illustrate and allow the assessment of the MFSMCS Structures performance and the comparison versus a model-free iPI Control System Structure as well. Display Omitted

  • ICIT - Data-driven optimal model-free Control of twin rotor aerodynamic Systems
    2015 IEEE International Conference on Industrial Technology (ICIT), 2015
    Co-Authors: Raul-cristian Roman, Mircea-bogdan Radac, Radu-emil Precup, Emil M. Petriu
    Abstract:

    This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic Systems. A discrete-time formulation of the algorithms is given in the framework of a MIMO Control System Structure with azimuth and pitch position Control loops. An optimal design approach of the MIMO MFC algorithms is proposed using a Linear Quadratic Regulator formulation. The sensitivity of the new MFC Structure with respect to parametric variations of the aerodynamic System is checked against two additional Structures that are also optimally designed. The case study also reveals how the sampling time influences the Control System performance.

  • SACI - Design and experiments for model-free PI Control of DC drives
    2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2013
    Co-Authors: Mircea-bogdan Radac, Radu-emil Precup, Razvan-alexandru Achimescu, Stefan Preitl, Claudia-adina Dragos, Alexandra-iulia Stinean
    Abstract:

    This paper proposes the model-free PI Control design for direct current (DC) drives. A model-free PI Control System Structure is considered in the framework of reference tracking Control using a first-order nonlinear dynamic System as a local approximation of the process model. The derivatives are estimated numerically using a Savitzky-Golay filter that solves the differentiation and also the smoothing. The model-free PI Control System Structure is applied to the speed Control of a laboratory nonlinear DC drive as a representative mechatronics application. The experimental results for three different reference input shapes show the very good performance in model reference tracking, reference trajectory tracking and numerical differentiation.

Raul-cristian Roman - One of the best experts on this subject based on the ideXlab platform.

  • ITQM - Second Order Intelligent Proportional-Integral Fuzzy Control of Twin Rotor Aerodynamic Systems
    Procedia Computer Science, 2018
    Co-Authors: Raul-cristian Roman, Radu-emil Precup, Raducodrut David
    Abstract:

    Abstract This paper proposes a hybrid Controller that consists of a second order data–driven Model–Free Control (MFC), also known as intelligent proportional–integral (iPI), and a Takagi-Sugeno Fuzzy (TSF) logic Controller for nonlinear Multi Input–Multi Output (MIMO) twin rotor aerodynamic Systems (TRASs). The pitch position Control is carried out using a single input–single output Control System Structure. The hybrid Controller (the second order MFC algorithm and the TSF logic Controller) is referred to as second order MFC–TSF Controller. The performance of the Control System Structure (CSS) with the new second order MFC–TSF Controller is compared with the performance of a CSS with the second order MFC Controller, which is optimally tuned in a model-based manner by a Grey Wolf Optimizer algorithm. Experimental validation results on a nonlinear TRAS laboratory equipment are included.

  • second order intelligent proportional integral fuzzy Control of twin rotor aerodynamic Systems
    Procedia Computer Science, 2018
    Co-Authors: Raul-cristian Roman, Radu-emil Precup, Raducodrut David
    Abstract:

    Abstract This paper proposes a hybrid Controller that consists of a second order data–driven Model–Free Control (MFC), also known as intelligent proportional–integral (iPI), and a Takagi-Sugeno Fuzzy (TSF) logic Controller for nonlinear Multi Input–Multi Output (MIMO) twin rotor aerodynamic Systems (TRASs). The pitch position Control is carried out using a single input–single output Control System Structure. The hybrid Controller (the second order MFC algorithm and the TSF logic Controller) is referred to as second order MFC–TSF Controller. The performance of the Control System Structure (CSS) with the new second order MFC–TSF Controller is compared with the performance of a CSS with the second order MFC Controller, which is optimally tuned in a model-based manner by a Grey Wolf Optimizer algorithm. Experimental validation results on a nonlinear TRAS laboratory equipment are included.

  • Model-free sliding mode Control of nonlinear Systems
    Information Sciences, 2017
    Co-Authors: Radu-emil Precup, Raul-cristian Roman, Mircea-bogdan Radac, Emil M. Petriu
    Abstract:

    Two model-free sliding mode Control System (MFSMCS) Structures are proposed.The sliding mode Control of the tracking error dynamics is carried out.The design approaches specific to MFSMCS Structures are model-free in tuning.Lyapunov's stability theory is employed in the design approaches.The experimental validation on a twin rotor aerodynamic System is included. This paper proposes two model-free sliding mode Control System (MFSMCS) Structures. The new Structures are compared with a model-free intelligent proportional-integral (iPI) Control System Structure. Two simple design approaches for the MFSMCS Structures are suggested. The Control System Structures and the design approaches are validated by a set of real-time experimental results on a nonlinear laboratory twin rotor aerodynamic System (TRAS). The MFSMCS Structures are considered in the framework of a Multi Input-Multi Output TRAS Control System, where the azimuth and pitch positions are Controlled using separate Single Input-Single Output Control System Structures for each Control channel (azimuth and pitch). The experimental validation is carried out by two scenarios that illustrate and allow the assessment of the MFSMCS Structures performance and the comparison versus a model-free iPI Control System Structure as well. Display Omitted

  • ICIT - Data-driven optimal model-free Control of twin rotor aerodynamic Systems
    2015 IEEE International Conference on Industrial Technology (ICIT), 2015
    Co-Authors: Raul-cristian Roman, Mircea-bogdan Radac, Radu-emil Precup, Emil M. Petriu
    Abstract:

    This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic Systems. A discrete-time formulation of the algorithms is given in the framework of a MIMO Control System Structure with azimuth and pitch position Control loops. An optimal design approach of the MIMO MFC algorithms is proposed using a Linear Quadratic Regulator formulation. The sensitivity of the new MFC Structure with respect to parametric variations of the aerodynamic System is checked against two additional Structures that are also optimally designed. The case study also reveals how the sampling time influences the Control System performance.

Evripidis Karatsivos - One of the best experts on this subject based on the ideXlab platform.

  • A general Control System Structure for multi-terminal VSC-HVDC Systems
    IEEE PES Innovative Smart Grid Technologies Europe, 2014
    Co-Authors: Evripidis Karatsivos, Jörgen Svensson, Olof Samuelsson
    Abstract:

    Renewable technology expands geographically and in capacity. The long transmission distance and bulk power transfer involved make multi-terminal VSC-HVDC Systems a key technology for future power Systems. This expansion could be hampered by the pace of development of multi-terminal Systems especially when standardization is not reached in hardware or the Control System. A general Control System Structure is proposed in this paper, dividing the Control System in Control levels for primary and secondary Control implementation and focusing on the interface among them for modularity and expandability. Uniform interfaces standardize data exchange and decouple the overall System Control from the local substation Control. A version of the Control System is tested on a simplified model for different scenarios and number of terminals to demonstrate its functionality and ability to integrate additional terminals. The Control System Structure provides a platform where each part of the Control System can be programmed independently.

  • Control of a Multi-terminal VSC-HVDC System - A general Control System Structure
    2013
    Co-Authors: Evripidis Karatsivos
    Abstract:

    Environmental impact and security of supply has fuelled a shift in the power mix of power Systems today. Traditionally used fossil fuel gives more and more space to the development of renewables in an effort to comply with strict international standards regarding CO2 emissions and secure energy supply. Wide geographical spread of renewable resources indicates that HVDC technology is most suitable for transmitting power from the isolated points of generation to the points of consumption. This is also supported by the fact that the most advanced among renewable technologies is wind power technology which tends to expand offshore where higher wind potential is available and projects are more immune to public opposition. Integration of renewables and their upgraded role in the power System together with the ambition of an integrated energy market trigger visions of a highly Controllable and reliable, continent-wide DC grid based on multi-terminal HVDC technology. Recent developments in converter technology make this vision realistic. Voltage Source Converter (VSC) technology shows great Controllability facilitating the connection to the AC System compared to Current Source Converter (CSC) technology. VSC-HVDC technology is suitable for multi-terminal System arrangements but several issues need to be investigated before this becomes reality. While the development of large multi-terminal VSC-HVDC depends on the functionality of a fast and reliable DC breaker, such component may not be indispensable for the development of smaller Systems. Nevertheless, concerns exist for the development of smaller, regional multi-terminal VSC-HVDC Systems, especially if they are expected to expand and interconnect to form a larger DC grid in the future. Lack of field experience is a source of concern but most importantly, lack of standardization and absence of a Control System to perform the coordinated operation of the multi-terminal VSC HVDC System. The focus of this thesis is the Control System that will allow automated and coordinated operation of a multi-terminal VSC - HVDC System. It is perceived that the Control System can contribute in the standardization in software level with the intention to allow uniform interfacing with equipment coming from different suppliers. The transition from small, regional multi-terminal VSC-HVDC Systems to a large DC grid will most likely happen gradually expanding and interconnecting the individual, small multi-terminal Systems to form a larger System where coordinated operation is considered necessary. A well designed Control System already in this stage can contribute in keeping up with this evolution assuring at the same time safe System operation both in normal conditions and under disturbances. The intention is to describe the Structure and features of such System and provide an implementation that can be validated by simulations. In this thesis the Structure and features of an overall Control System for a multi-terminal VSC-HVDC System are described. Following this outline an implementation is proposed that is validated through simulations on mainly 3-terminal VSC-HVDC Systems. Uniform interfacing is used and a minimum necessary data set is suggested. The expandability of the proposed Control System is tested as well as its behaviour in normal operation and operation under disturbances, such as communication loss events and AC faults. (Less)

Mircea-bogdan Radac - One of the best experts on this subject based on the ideXlab platform.

  • Model-free sliding mode Control of nonlinear Systems
    Information Sciences, 2017
    Co-Authors: Radu-emil Precup, Raul-cristian Roman, Mircea-bogdan Radac, Emil M. Petriu
    Abstract:

    Two model-free sliding mode Control System (MFSMCS) Structures are proposed.The sliding mode Control of the tracking error dynamics is carried out.The design approaches specific to MFSMCS Structures are model-free in tuning.Lyapunov's stability theory is employed in the design approaches.The experimental validation on a twin rotor aerodynamic System is included. This paper proposes two model-free sliding mode Control System (MFSMCS) Structures. The new Structures are compared with a model-free intelligent proportional-integral (iPI) Control System Structure. Two simple design approaches for the MFSMCS Structures are suggested. The Control System Structures and the design approaches are validated by a set of real-time experimental results on a nonlinear laboratory twin rotor aerodynamic System (TRAS). The MFSMCS Structures are considered in the framework of a Multi Input-Multi Output TRAS Control System, where the azimuth and pitch positions are Controlled using separate Single Input-Single Output Control System Structures for each Control channel (azimuth and pitch). The experimental validation is carried out by two scenarios that illustrate and allow the assessment of the MFSMCS Structures performance and the comparison versus a model-free iPI Control System Structure as well. Display Omitted

  • ICIT - Data-driven optimal model-free Control of twin rotor aerodynamic Systems
    2015 IEEE International Conference on Industrial Technology (ICIT), 2015
    Co-Authors: Raul-cristian Roman, Mircea-bogdan Radac, Radu-emil Precup, Emil M. Petriu
    Abstract:

    This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi Output (MIMO) twin rotor aerodynamic Systems. A discrete-time formulation of the algorithms is given in the framework of a MIMO Control System Structure with azimuth and pitch position Control loops. An optimal design approach of the MIMO MFC algorithms is proposed using a Linear Quadratic Regulator formulation. The sensitivity of the new MFC Structure with respect to parametric variations of the aerodynamic System is checked against two additional Structures that are also optimally designed. The case study also reveals how the sampling time influences the Control System performance.

  • SACI - Design and experiments for model-free PI Control of DC drives
    2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2013
    Co-Authors: Mircea-bogdan Radac, Radu-emil Precup, Razvan-alexandru Achimescu, Stefan Preitl, Claudia-adina Dragos, Alexandra-iulia Stinean
    Abstract:

    This paper proposes the model-free PI Control design for direct current (DC) drives. A model-free PI Control System Structure is considered in the framework of reference tracking Control using a first-order nonlinear dynamic System as a local approximation of the process model. The derivatives are estimated numerically using a Savitzky-Golay filter that solves the differentiation and also the smoothing. The model-free PI Control System Structure is applied to the speed Control of a laboratory nonlinear DC drive as a representative mechatronics application. The experimental results for three different reference input shapes show the very good performance in model reference tracking, reference trajectory tracking and numerical differentiation.