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Advanced robust nonlinear control approaches for quadrotor unmanned aerial vehicle : roadmap to improve tracking-trajectory performance in the presense of external disturbances / / Moussa Labbadi, Yassine Boukal, Mohamed Cherkaoui
Advanced robust nonlinear control approaches for quadrotor unmanned aerial vehicle : roadmap to improve tracking-trajectory performance in the presense of external disturbances / / Moussa Labbadi, Yassine Boukal, Mohamed Cherkaoui
Autore Labbadi Moussa
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (263 pages)
Disciplina 629.1326
Collana Studies in Systems, Decision and Control
Soggetto topico Drone aircraft - Control systems
Nonlinear control theory
ISBN 3-030-81014-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910522950603321
Labbadi Moussa  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle : Roadmap to Improve Tracking-Trajectory Performance in the Presence of External Disturbances
Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle : Roadmap to Improve Tracking-Trajectory Performance in the Presence of External Disturbances
Autore Labbadi Moussa
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (263 pages)
Altri autori (Persone) BoukalYassine
CherkaouiMohamed
Collana Studies in Systems, Decision and Control Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-81014-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle
Record Nr. UNINA-9910502988303321
Labbadi Moussa  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling, optimization and intelligent control techniques in renewable energy systems : an optimal integration of renewable energy resources into grid / / Moussa Labbadi [and four others]
Modeling, optimization and intelligent control techniques in renewable energy systems : an optimal integration of renewable energy resources into grid / / Moussa Labbadi [and four others]
Autore Labbadi Moussa
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (244 pages) : illustrations (black and white, and color)
Disciplina 621.042
Collana Studies in systems, decision and control
Soggetto topico Renewable energy sources
ISBN 3-030-98737-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Abbreviations -- Acronyms -- List of Figures -- List of Tables -- Part I Intelligent Control on Wind Farm -- 1 Introduction to Power System Stability and Wind Energy Conversion System -- 1.1 Introduction -- 1.2 Stability of the Electrical Power System -- 1.3 Power System Stability and Wind Energy Conversion System -- 1.4 Voltage Dips and Grid Code Requirements -- 1.4.1 Voltage Stability -- 1.4.2 Types of Voltage Stability -- 1.4.3 Main Causes of Voltage Instability -- 1.4.4 Grid Code Requirements for Voltage Dip -- 1.5 Frequency Stability and Grid Code Requirements -- 1.5.1 Main Causes of Frequency Instability -- 1.5.2 Example of Frequency Instability -- 1.5.3 Grid Code Requirements -- 1.5.4 Frequency Control -- 1.6 Conclusion -- References -- 2 Description and Modeling of Wind Energy Conversion System -- 2.1 Introduction -- 2.2 Wind Turbine -- 2.2.1 Modeling of Turbine in Per Unit Notation -- 2.2.2 Modeling of the Shaft in Per-unit System -- 2.3 Modeling of the Squirrel-Cage Asynchronous Generator in the Park Reference Frame -- 2.3.1 Modeling of SCIG in the Park Reference Frame -- 2.3.2 Electrical Equations of Generator in Park Reference Frame -- 2.3.3 Per-unit System for Modeling -- 2.3.4 Electromagnetic Torque and Power -- 2.4 Modeling of the RL Filter in pu System -- 2.5 Modeling of Transformer and Transmission Line -- 2.5.1 Transformer Model -- 2.5.2 Transmission Line Model -- 2.6 Modeling of the LCL Filter -- 2.6.1 Model of LCL Filter in (abc) Reference Frame -- 2.6.2 Model of LCL Filter in Park Reference Frame -- 2.7 Electrical Power Network -- 2.7.1 Infinite Grid Model -- 2.7.2 Dynamic Model of Grid -- 2.8 Conclusion -- References -- 3 Power Quality Improvement of Wind Energy Conversion System Using a Fuzzy Nonlinear Controller -- 3.1 Introduction -- 3.2 Modeling of Grid-Side System.
3.2.1 Modeling of DC Bus -- 3.2.2 Model of Filter -- 3.3 SMC of Grid-Side Converter -- 3.3.1 SMC of Grid-Side Current -- 3.3.2 Analysis of System Stability -- 3.3.3 Sliding Mode Control of Grid Current Without RC Sensor -- 3.3.4 Fuzzy Smooth Function of FSMC -- 3.3.5 FSMC Stability Analysis -- 3.4 Simulation Validation -- 3.4.1 Comparative Study of Filters and Their Control Systems -- 3.4.2 Robustness Test Against Variation of Parameters -- 3.5 Experimental Validation Approach -- 3.5.1 Comparative Study Between RL Filter and LCL Filter -- 3.5.2 Comparative Study for Control Methods Using LCL Filter -- 3.5.3 Robustness Test -- 3.6 Conclusion -- References -- 4 Supervisory and Power Control Systems of a WF for Participating in Auxiliary Services -- 4.1 Introduction -- 4.2 Wind Farm Supervision System -- 4.2.1 Power Dispatching Using Proportional Distribution Algorithm -- 4.2.2 Supervisory System Configuration -- 4.3 Transient Control Modes of Wind Turbines -- 4.3.1 MPPT Control Mode -- 4.3.2 PQ Control Mode -- 4.3.3 Fault Control Mode -- 4.3.4 Validation and Discussion -- 4.4 Fault Control Strategy Using Hierarchical Fuzzy Controller -- 4.4.1 Dynamic Model of Grid for Voltage-Reactive Power Control -- 4.4.2 Voltage Control at PCC -- 4.4.3 Proposed Fuzzy Hierarchical Controller -- 4.4.4 Validation and Discussion -- 4.5 Conclusion -- References -- 5 LVRT Control Using an Optimized Fractional Order Fuzzy Controller of a Wind Farm -- 5.1 Introduction -- 5.2 Wind Farm Management According to Grid Code Recommendations -- 5.2.1 Central Supervision Unit -- 5.2.2 Local Supervision Unit -- 5.2.3 System Protection -- 5.3 Power System Modeling -- 5.3.1 Objectives of the Study and Choice of Model Type -- 5.4 Wind Farm Management According to Grid Code Requirements -- 5.4.1 Gird Code Requirements -- 5.5 Proposed Fault Control Strategy -- 5.5.1 Voltage Control.
5.5.2 Design of Fractional Order PIFO-Fuzzy-PIFO Controller -- 5.5.3 Fractional Order Preliminaries -- 5.5.4 Proposed FOPI-Fuzzy-FOPI Fractional Order Controller -- 5.6 Validation and Discussion -- 5.6.1 Comparative Study of Voltage and Reactive Power Responses -- 5.6.2 Performance of the Supervision System -- 5.7 Conclusion -- References -- 6 Primary Frequency Control for Wind Farm Using a Novel PI Fuzzy PI Controller -- 6.1 Introduction -- 6.2 Aggregate Model for Frequency-Power Response Study -- 6.2.1 Aggregate Model of the Wind Farm -- 6.2.2 Equivalent Parameters of Aggregated Model -- 6.2.3 Power System Model for Frequency Control -- 6.2.4 Adaptation of Power System Model to Grid Code Recommendations -- 6.3 Proposed Hierarchical Fuzzy Logic Controller for Primary Frequency Control -- 6.3.1 Power Reserve Control -- 6.3.2 Frequency Control -- 6.4 Simulation Results and Discussion -- 6.4.1 Comparative Study of the Frequency and Power Responses -- 6.4.2 Dynamic Behavior of WTs -- 6.5 Conclusion -- References -- Part II Modeling, Optimization and Sizing of Hybrid PV-CSP Plants PV-CSP Hybrid Plants -- 7 Hybridization PV-CSP: An Overview -- 7.1 Introduction -- 7.2 Global Energy Context -- 7.3 Renewable Energies Sources (RES) -- 7.3.1 The Context of Integration of Renewable Energies Sources in the Electrical Grid -- 7.3.2 Issues Related to the Integration of Renewable Energies Sources -- 7.3.3 Proposed Solutions -- 7.4 Solar Energy -- 7.5 Hybrid Energy Systems (HES) -- 7.5.1 PV Hybrid Systems -- 7.5.2 CSP Hybrid Systems -- 7.6 PV-CSP Hybridization -- 7.7 Literature Review on PV-CSP Hybridization -- 7.8 Conclusion -- References -- 8 Detailed Modeling of Hybrid PV-CSP Plant -- 8.1 Introduction -- 8.2 Solar Position -- 8.3 PV Model -- 8.4 CSP Model -- 8.5 Dispatch Strategy -- 8.6 Conclusion -- References.
9 Techno-economic Parametric Study of Hybrid PV-CSP Power Plants -- 9.1 Introduction -- 9.2 Technical and Economic Assessment -- 9.2.1 Technical Assessment -- 9.2.2 Economic Assessment -- 9.3 Site Selection -- 9.4 Parametric Study of Solar Power Plants -- 9.4.1 The PV Plant -- 9.4.2 The CSP Plant -- 9.4.3 The Hybrid PV-CSP Plant -- 9.5 Findings -- 9.6 Conclusion -- References -- 10 Optimal PV-CSP System Sizing Using Mono Objective Optimization -- 10.1 Introduction -- 10.2 Optimization Problem Statement -- 10.2.1 Objective Function -- 10.2.2 Constraint -- 10.2.3 Decision Variables -- 10.3 Optimization Algorithm -- 10.4 Result and Discussion -- 10.4.1 Case 1 -- 10.4.2 Case 2 -- 10.4.3 Comparative Study (A PV-CSP Plant and a CSP Plant) -- 10.5 Conclusions -- References -- 11 The Multi-objective Optimization of PV-CSP Hybrid System with Electric Heater -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 System Modeling -- 11.4 Optimization Problem Statement -- 11.5 Multi-objective Optimization Algorithm -- 11.6 Multi-criteria Decision-Making Method -- 11.7 Results and Discussion -- 11.8 Conclusions -- References -- 12 Summary and Scope -- 12.1 Summary of Full Text -- 12.2 Future Research Prospect -- Appendix A Part I: Parameters and Preliminaries of Wind Energy Conversion System and Controllers -- A.1 Fuzzy Sliding Mode Control with LCL Filter -- A.2 Supervisory System and Reactive Power Control -- A.3 Primary Frequency Control -- A.4 Experimental Test Bench -- A.4.1 Measurement Circuits -- A.4.2 RL Filter -- A.4.3 The SEMIKRON Three-Phase Inverter -- Appendix B Part II: Technical and Economic Parameters of PV and CSP Plants.
Record Nr. UNINA-9910561294603321
Labbadi Moussa  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui