ACTIVE FAULT-TOLERANT CONTROL OF INDUCTION MOTOR DRIVES IN EV AND HEV AGAINST SENSOR FAILURES USING A FUZZY DECISION SYSTEM

Benbouzid, M.E.H.,Diallo, D.,Zeraoulia, M.,Zidani, F. The Korean Society of Automotive Engineers 2006 International journal of automotive technology Vol.7 No.6

This paper describes an active fault-tolerant control system for an induction motor drive that propels an Electrical Vehicle(EV) or a Hybrid one(HEV). The proposed system adaptively reorganizes itself in the event of sensor loss or sensor recovery to sustain the best control performance given the complement of remaining sensors. Moreover, the developed system takes into account the controller transition smoothness in terms of speed and torque transients. In this paper which is the sequel of (Diallo et al., 2004), we propose to introduce more advanced and intelligent control techniques to improve the global performance of the fault-tolerant drive for automotive applications(e.g. EVs or HEVs). In fact, two control techniques are chosen to illustrate the consistency of the proposed approach: sliding mode for encoder-based control; and fuzzy logics for sensorless control. Moreover, the system control reorganization is now managed by a fuzzy decision system to improve the transitions smoothness. Simulations tests, in terms of speed and torque responses, have been carried out on a 4-kW induction motor drive to evaluate the consistency and the performance of the proposed fault-tolerant control approach.

ACTIVE FAULT-TOLERANT CONTROL OF INDUCTION MOTOR DRIVES IN EV AND HEV AGAINST SENSOR FAILURES USING A FUZZY DECISION SYSTEM

M. E. H. BENBOUZID,D. DIALLO,M. ZERAOULIA,F. ZIDANI 한국자동차공학회 2006 International journal of automotive technology Vol.7 No.6

This paper describes an active fault-tolerant control system for an induction motor drive that propels an Electrical Vehicle (EV) or a Hybrid one (HEV). The proposed system adaptively reorganizes itself in the event of sensor loss or sensor recovery to sustain the best control performance given the complement of remaining sensors. Moreover, the developed system takes into account the controller transition smoothness in terms of speed and torque transients. In this paper which is the sequel of (Diallo et al., 2004), we propose to introduce more advanced and intelligent control techniques to improve the global performance of the fault-tolerant drive for automotive applications (e.g. EVs or HEVs). In fact, two control techniques are chosen to illustrate the consistency of the proposed approach: sliding mode for encoder-based control; and fuzzy logics for sensorless control. Moreover, the system control reorganization is now managed by a fuzzy decision system to improve the transitions smoothness. Simulations tests, in terms of speed and torque responses, have been carried out on a 4㎾ induction motor drive to evaluate the consistency and the performance of the proposed fault-tolerant control approach.

Problems of Stator Flux Estimation in DTC of PMSM Drives

Kadjoudj, M.,Golea, N.,Benbouzid, M.E.H The Korean Institute of Electrical Engineers 2007 Journal of Electrical Engineering & Technology Vol.2 No.4

The DTC of voltage source inverter-fed PMSMs is based on hysteresis controllers of torque and flux. It has several advantages, namely, elimination of the mandatory rotor position sensor, less computation time, and rapid torque response. In addition, the stator resistance is the only parameter, which should be known, and no reference frame transformation is required. The DTC theory has achieved great success in the control of induction motors. However, for the control of PMSM drives proposed a few years ago, there are many basic theoretical problems that must be clarified. This paper describes an investigation into the effect of the zero voltage space vectors in the DTC system and points out that if using it rationally, not only can the DTC of the PMSM drive be driven successfully, but torque and flux ripples are reduced and overall performance of the system is improved. The implementation of DTC in PMSM drives is described and the switching tables specific for an interior PMSM are derived. The conventional eight voltage-vector switching table, which is namely used in the DTC of induction motors does not seem to regulate the torque and stator flux in a PMSM well when the motor operates at low speed. Modelling and simulation studies have both revealed that a six voltage-vector switching table is more appropriate for PMSM drives at low speed. In addition, the sources of difficulties, namely, the error in the detection of the initial rotor position, the variation of stator resistance, and the offsets in measurements are analysed and discussed.

Problems of Stator Flux Estimation in DTC of PMSM Drives

M. Kadjoudj,N. Golea,M.E.H Benbouzid 대한전기학회 2007 Journal of Electrical Engineering & Technology Vol.2 No.4

The DTC of voltage source inverter-fed PMSMs is based on hysteresis controllers of torque and flux. It has several advantages, namely, elimination of the mandatory rotor position sensor, less computation time, and rapid torque response. In addition, the stator resistance is the only parameter, which should be known, and no reference frame transformation is required. The DTC theory has achieved great success in the control of induction motors. However, for the control of PMSM drives proposed a few years ago, there are many basic theoretical problems that must be clarified. This paper describes an investigation into the effect of the zero voltage space vectors in the DTC system and points out that if using it rationally, not only can the DTC of the PMSM drive be driven successfully, but torque and flux ripples are reduced and overall performance of the system is improved. The implementation of DTC in PMSM drives is described and the switching tables specific for an interior PMSM are derived. The conventional eight voltage-vector switching table, which is namely used in the DTC of induction motors does not seem to regulate the torque and stator flux in a PMSM well when the motor operates at low speed. Modelling and simulation studies have both revealed that a six voltage-vector switching table is more appropriate for PMSM drives at low speed. In addition, the sources of difficulties, namely, the error in the detection of the initial rotor position, the variation of stator resistance, and the offsets in measurements are analysed and discussed.

Economic Power Dispatch with Discontinuous Fuel Cost Functions using Improved Parallel PSO

Mahdad, Belkacem,Bouktir, T.,Srairi, K.,Benbouzid, M.EL. The Korean Institute of Electrical Engineers 2010 Journal of Electrical Engineering & Technology Vol.5 No.1

This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with discontinuous fuel cost functions. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained by parallel Particle Swarm Optimization. The proposed approach tested on 6 generating units with smooth cost function, and to 26-bus (6 generating units) with consideration of prohibited zone effect, the simulation results compared with recent global optimization methods (Bee-OPF, GA, MTS, SA, PSO). From the different case studies, it is observed that the proposed approach provides qualitative solution with less computational time compared to various methods available in the literature survey.

Optimal Power Flow with Discontinous Fuel Cost Functions Using Decomposed GA Coordinated with Shunt FACTS

Mahdad, Belkacem,Srairi, K.,Bouktir, T.,Benbouzid, M.EL. The Korean Institute of Electrical Engineers 2009 Journal of Electrical Engineering & Technology Vol.4 No.4

This paper presents efficient parallel genetic algorithm (EPGA) based decomposed network for optimal power flow with various kinds of objective functions such as those including prohibited zones, multiple fuels, and multiple areas. Two coordinated sub problems are proposed: the first sub problem is an active power dispatch (APD) based parallel GA; a global database generated containing the best partitioned network: the second subproblem is an optimal setting of control variables such as generators voltages, tap position of tap changing transformers, and the dynamic reactive power of SVC Controllers installed at a critical buses. The proposed approach tested on IEEE 6-bus, IEEE 30-bus and to 15 generating units and compared with global optimization methods (GA, DE, FGA, PSO, MDE, ICA-PSO). The results show that the proposed approach can converge to the near solution and obtain a competitive solution with a reasonable time.

Economic Power Dispatch with Discontinuous Fuel Cost Functions using Improved Parallel PSO

Belkacem Mahdad,Tarek Bouktir,Kamel Srair,Mohamed El Hachemi Benbouzid 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.1

This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with discontinuous fuel cost functions. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained by parallel Particle Swarm Optimization. The proposed approach tested on 6 generating units with smooth cost function, and to 26-bus (6 generating units) with consideration of prohibited zone effect, the simulation results compared with recent global optimization methods (Bee-OPF, GA, MTS, SA, PSO). From the different case studies, it is observed that the proposed approach provides qualitative solution with less computational time compared to various methods available in the literature survey.

Optimal Power Flow with Discontinous Fuel Cost Functions Using Decomposed GA Coordinated with Shunt FACTS

Belkacem Mahdad,Kamel Srairi,Tarek Bouktir,Mohamed El Hachemi Benbouzid 대한전기학회 2009 Journal of Electrical Engineering & Technology Vol.4 No.4

This paper presents efficient parallel genetic algorithm (EPGA) based decomposed network for optimal power flow with various kinds of objective functions such as those including prohibited zones, multiple fuels, and multiple areas. Two coordinated sub problems are proposed: the first sub problem is an active power dispatch (APD) based parallel GA; a global database generated containing the best partitioned network: the second subproblem is an optimal setting of control variables such as generators voltages, tap position of tap changing transformers, and the dynamic reactive power of SVC Controllers installed at a critical buses. The proposed approach tested on IEEE 6-bus, IEEE 30-bus and to 15 generating units and compared with global optimization methods (GA, DE, FGA, PSO, MDE, ICA-PSO). The results show that the proposed approach can converge to the near solution and obtain a competitive solution with a reasonable time.

Model predictive current control of asymmetrical hybrid cascaded multilevel inverter

Jingang Han,Pinxuan Zhao,Gang Yao,Hao Chen,Yide Wang,Mohamed Benbouzid,Tianhao Tang 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.4

Asymmetrical hybrid cascaded (AHC) multilevel inverters (MLIs) adapt in medium- and high-power applications due to their good output voltage performance and numerous voltage levels. Research on reliable control schemes for AHC MLIs is necessary due to complicated practical conditions. This study presents a finite control set–model predictive control (FCSMPC) algorithm for a three-phase AHC MLI. The topology has few switching component requirements and generates many voltage levels through changes in the DC power supply ratio. FCS-MPC is designed for AHC MLIs to achieve stable and reliable control. Delay compensation and computational burden relief are also realized. Simulation and experiment results confirm the good performance of the proposed algorithm for AHC MLIs under steady-state and dynamic processes.

Dependence of Structural and Optical Properties of ZnO Thin Films Grown by Sol–Gel Spin-Coating Technique on Solution Molarity

Slimane Chala,Madani Bdirina,Mourad Elbar,Yassine Naoui,Yazid Benbouzid,Taki Eddine Taouririt,Mohamed Labed,Rami Boumaraf,Abdel Fodhil Bouhdjar,Nouredine Sengouga,Fahrettin Yakuphanoğlu,Saâd Rahmane 한국전기전자재료학회 2022 Transactions on Electrical and Electronic Material Vol.23 No.5

Zinc oxide (ZnO) thin films were deposited on glass substrates by using sol–gel spin coating technique. Zinc acetate dihydrate and 2-methoxyethanol were used as precursor with different molar concentrations, 0.2 M, 0.3 M and 0.6 M. The effect of precursor concentration on the structural and optical properties, transmission (T), refl ection (R), optical bandgap (Eg), Urbach energy (E U ), refractive index (n), extinction coefficient (k), single-oscillator energy (E 0 ), dispersion energy (E d ), moments M −1 and M −3 , dielectric constant (ε) and optical conductivity (σ), of the ZnO thin films was studied and investigated. Although, the transmittance, slightly, decreased and the reflectance increased, as the molar concentration increased, the measurements showed that all samples have high transparency and low reflectivity in the visible range which make them suitable for solar cells applications. It is also found that, as the molarity increased, the ZnO thin films exhibited lower Eg and E U and higher Ed, M −1 and M −3 .