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In this article, a new vector control intended for an induction motor in double fed mode is proposed. It is based on the principle of a double flux orientation of stator and rotor at the same time. Therefore, the orthogonality created between the two oriented fluxes, which must be strictly observed, leads to generate a linear and decoupled control...
Contexts in source publication
Context 1
... Figure 5 illustrates the flux vectors estimate diagram giving their modulus and absolute positions (ρ R and ρ S ). In order to have a perfect decoupling, the torque angle must be equal to 90 • . ...
Context 2
... that, the simpler pure integration gives the new orthogonal absolute position ρ s⊥ of stator flux φ s . The new rotor absolute position ρ s⊥ will be deduced by adding 90 • , as illustrated in Figure 5. A similar configuration was proposed in [14] for the anglê δ control in which, in the place of PI employed in this work, an oscillator VCO (voltage controlled oscillator) has been used. ...
Citations
... In the field of controls, different approaches are used, which have advantages but are limited by some disadvantages, among these popular controls which are applied on DFIM are the Field Oriented Control (FOC) (Blaschke, 1972;Hasse, 1968), its operating principle is to bring back the behavior of the DFIM similar to a DC machine, to ensure the decoupling between flux and torque (El Ouanjli et al., 2019a;Drid et al., 2005) (DFOC) (Drid et al., 2005), the sensors are subject to physical and mechanical constraints (temperature, vibration) (Mahfoud et al., 2021a), the Indirect Field Oriented Control (IFOC) eliminates the need to use a sensor of the flux, the major disadvantage of this method is the sensibility of the estimation in towards the variation of the machine parameters (Amezquita-Brooks et al., 2015), especially the stator and rotor time constants so the regulation in this control is carried out by six classical PID regulators which make the control very sensitive to the parametrical variations. In Abderazak and Farid (2016) the authors have developed the sliding mode control which is known by the phenomenon of chattering which causes very frequent oscillations affecting the operation and performance of the system (Mazen Alhato et al., 2020). ...
... In the field of controls, different approaches are used, which have advantages but are limited by some disadvantages, among these popular controls which are applied on DFIM are the Field Oriented Control (FOC) (Blaschke, 1972;Hasse, 1968), its operating principle is to bring back the behavior of the DFIM similar to a DC machine, to ensure the decoupling between flux and torque (El Ouanjli et al., 2019a;Drid et al., 2005) (DFOC) (Drid et al., 2005), the sensors are subject to physical and mechanical constraints (temperature, vibration) (Mahfoud et al., 2021a), the Indirect Field Oriented Control (IFOC) eliminates the need to use a sensor of the flux, the major disadvantage of this method is the sensibility of the estimation in towards the variation of the machine parameters (Amezquita-Brooks et al., 2015), especially the stator and rotor time constants so the regulation in this control is carried out by six classical PID regulators which make the control very sensitive to the parametrical variations. In Abderazak and Farid (2016) the authors have developed the sliding mode control which is known by the phenomenon of chattering which causes very frequent oscillations affecting the operation and performance of the system (Mazen Alhato et al., 2020). ...
Direct Torque Control (DTC) presents an optimal solution to control the behaviors of the alternative motors, compared to other controls, because of several advantages offered by this technique, the speed overshoots, fluxes, and torque ripples remain the major factors which minimize the DTC robustness. The regulation speed in DTC is carried out by the classic Proportional Integrator Derivative (PID), which is known for its higher robustness in linear systems, except that in the case of non-linear systems, the PID controller gives poor reactions to variations in the system’s parameters. The best solutions adopted in this situation are often based on optimization algorithms that generate the controller’s gains in each period where there is an internal or external perturbation, adapting the behaviors of the PID against the system’s nonlinearity. For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). The proposed approach is implemented on Matlab/Simulink to validate the objectives adopted by this strategy. The simulation and experimental results extracted from Matlab and ControlDesk have proved the efficiency of the proposed ACO-DTC with the system’s nonlinearity, which attribute different enhancements in the global system performance.
... This fact has led researchers to find new techniques to control the behavior of rotating machines ( El Ouanjli, Derouich, Chebabhi, and Taoussi, 2017 ). The first control that appeared in the literature and in the industrial sector is the scalar control (SC) ( Drid, Nait-Said, and Tadjine, 2005 ), which has a very wide range of use and meets the industrial needs in the field of speed variation, but its major dis-advantage lies in the static and dynamic inaccuracy of the torque control at low speed because of the resistive elements that are no longer negligible ( Flah et al., 2021 ), while the demands for more efficient applications have made it possible for researchers to realize appropriate controls that meet the industrial requirements. In the same way, Blaschke and Hasse ( Blaschke, 1972, Hasse, 1968 developed vector control, which is entitled to the orientation of AC machine flux, The main disadvantage of this technique is the need for a flux sensor positioned in the air gap, which adds noise due to physical constraints in the measurement. ...
Direct Torque Control (DTC) is the most popular strategy used in the industrial sector, because of its various advantages, however, the ripples torque makes it less efficient, due to the use of the hysteresis comparators, leading to variable frequency operation and on the other hand, the finite frequency sampling results in a pseudo-random overshoot of the hysteresis band, Thus, operation at low speed and in particular, with variations in motor resistances, affects the behavior of the machine, in this reason, this article presents a new study to promote its drawbacks to increase the control performances. A new intelligent direct torque control applied to a Doubly Fed Induction Motor (DFIM) by two Vector Source Inverters (VSIs) based on an Artificial Neuron Network (ANN) who will replace the speed controller, switching tables, and hysteresis comparators, with this special technique simulated in Matlab/Simulink, approved several improvements on motor and control behaviors so as, the ripples torque has been improved by 55.82 %, the overshoot is absolutely removed and increasing important values of total harmonic distortion (THD) by 3.26 % and 3.31 % for stator and rotor currents respectively.
... The operation of DFIM with flux control needs an inverter with advanced computational approaches. In addition, precise motor parameters are required which are affected by many factors like temperature and magnetic saturation (Abdellatif et al., 2010;Drid et al., 2005;Karthikeyan et al., 2012;Nemmour et al., 2008;Lekhchinea et al., 2015;El Ouanjli et al., 2017). Therefore, the field orientation technique needs accurate motor parameters to avoid inefficient operation of the motor. ...
Purpose
This paper aims to present an optimal variable speed drive of a doubly fed induction motor (DFIM) with minimum losses and reduced inverter capacity. The operation with minimum losses ensures that the DFIM develops the required load torque at desired speed with maximum energy saving. Moreover, the control of rotor voltage ensures the reduced inverter capacity. The water cycle algorithm (WCA) as one of meta-heuristic optimization techniques is used to estimate the optimal rotor voltages to drive the DFIM with minimum losses. The results of WCA are confirmed with other well-known and reliable optimization method such as particle swarm optimization along with classical method.
Design/methodology/approach
The DFIM is an efficient alternative solution of synchronous motor (SM) because of its speed is synchronized with both stator and rotor frequencies regardless the load torque. As a result, the speed of variable speed drive associated with DFIM can be controlled through a rotor inverter with reduced capacity rather than SM. The output voltage of rotor inverter is controlled to develop the demanded output power with minimum motor losses.
Findings
A complete DFIM drive model is developed under MATLAB/SIMULINK environment using d-q dynamic model to verify the strength and significance of the proposed controller. An experimental setup using a 300 W three-phase wound rotor induction motor is established to validate the mathematical models and theoretical results. The motor performances with proposed rotor voltage control (minimum losses) are compared with conventional method of constant voltage to frequency ratio (V/f constant). It is found that the proposed WCA based on controller achieves significant reductions in motor losses, input power and rotor inverter power.
Originality/value
The paper presents an efficient method to maximize the energy saving of DFIM with a reduced inverter capacity using WCA.
... The sensorless control has reduced the cost of drives increasing ruggedness of induction drives. The double rotor flux oriented control offers unique advantage by providing simple mathematical model [3]. The vector control method proposed in [10] is shown to be effective in both the motoring mode and generation mode. ...
... Using the fundamental laws of ohm's law and faraday's law, the expressions of stator and rotor voltages with the currents and fluxes in synchronously rotating frame can be given as follows [11][12][13][14][15]: ...
... A vector controlled doubly fed induction machine is a captivating solution for excessive limited speed range electric powered force and era application, it consists in guiding an electromagnetic flux of the DFIM along the axis d or q [12,13]. In this paper, we select the direction of reference (d, q) ...
The environment friendly blessings of Electrical Vehicles (EV), human beings are becoming extra involved in the use of them alternatively than the usage of mechanical differentials. In electrical vehicles distinct sorts of electrical machines are used among them DFIM is used in this work. The challenging work is to design of a controller as the output of the motor has to match with vehicle input. So, far, most of the mentioned works have utilized Proportional-Integral (PI) controllers as the speed control. But, the negative aspects of PI controller are properly known, as its design depends on the specific motor parameters and the overall performance is sensitive to system disturbances. The fundamental goal of this paper is to replace the conventional PI controller by means of an IP controller which is successful of dealing with exceedingly non-linear DFIM motor for high performance application in Electrical Vehicle. The effectiveness of designed IP controller of an electrical differential for an EV system is evaluated through Matlab/Simulink software. In simulation work different road conditions for EV are considered. After the simulation the designed controller is found to be strong for the speed control application of Electrical Vehicle.
... [4, 12,15161718. In this framework, the DFIM continues to be of great interest owing to the birth of the idea of double flux orientation1920. The philosophy of this idea is to achieve a simpler machine model expression (ideal machine) [19]. ...
... In this framework, the DFIM continues to be of great interest owing to the birth of the idea of double flux orientation1920. The philosophy of this idea is to achieve a simpler machine model expression (ideal machine) [19]. Consequently, at the same time, we can solve a non-linear problem presented by the DFIM control and advance from many digital simulations toward the experimental test by the use of the dSPACE-1103 system. ...
... Rotor flux is oriented on the d-axis, and the stator flux is oriented on the q-axis. Conventionally, the d-axis remains reserved to the magnetizing axis and q-axis to torque axis, so we can write1920 ⎪ ...
This paper deals with the high efficient vector control for the reduction of copper losses of
the doubly fed motor. Firstly, the feedback linearization control based on Lyapunov approach is
employed to design the underlying controller achieving the double fluxes orientation. The fluxes’
controllers are designed independently of the speed. The speed controller is designed using the
Lyapunov method especially employed to the unknown load torques. The global asymptotic stability of
the overall system is theoretically proven. Secondly, a new Torque Copper Losses Factor is proposed to
deal with the problem of the machine copper losses. Its main function is to optimize the torque in
keeping the machine saturation at an acceptable level. This leads to a reduction in machine currents
and therefore their accompanied copper losses guaranteeing improved machine efficiency. The
simulation and experimental results in comparative presentation confirm largely the effectiveness of
the proposed DFIM control with a very interesting energy saving contribution.
... Conventionally, the d axis is the magnetising axis and the q axis is the torque axis. Consequently, d will be 908 and the two fluxes become orthogonal, so we can write the following expressions [18,19] f sq ¼ f s ...
A robust vector control intended for a doubly fed induction motor (DFIM) mode is considered. The state-all-flux induction machine model with a flux orientation constraint is replaced by a simpler control model. The double-flux orientation leads to orthogonality between the stator and rotor fluxes, resulting in a linear and decoupled machine control and an optimal developed torque. The inner flux controllers are designed using the Lyapunov linearisation approach. This flux control is exponentially stabilised independently of the speed. Associated with sliding-mode control, this solution shows good robustness with respect to parameter variations, measurement errors and noise. Finally, a speed controller is designed using two methods: the first with a PI controller and the second with the Lyapunov method associated with a backstepping procedure, especially employed for the unknown load torques. This second solution shows good robustness with respect to inertia variation and guarantees torque and speed tracking. The global asymptotic stability of the overall system is proven theoretically. The simulation and experimental results largely confirm the effectiveness of the proposed DFIM system control.
Because of its frequent use in diverse systems, the PMSM drive must be controlled. Field-oriented control (FOC) based PMSM drive is modeled in the present work to optimize the torque and speed performance of the PMSM. The FOC is based on a dissociated speed and flux control approach, which controls the speed and flux of the PMSM independently. The standard Proportional Integrator Derivative (PID) controller regulates the speed in FOC, which is noted for its increased resilience in linear systems, however in nonlinear ones, the PID controller responds poorly to changes in the system’s variables. In this case, the best solutions are frequently based on optimization techniques that produce the controller’s gains in every period. Optimizing the PID’s behavior in response to the system’s nonlinear behavior. The novel proposed strategy for enhancing the gains of the PID controller by employing a cost function such as Integral Time Absolute Error (ITAE) is based on PID speed regulation and is optimized using the Ant Colony Optimization algorithm (ACO) for FOC. To confirm the strategy’s aims, the suggested method is implemented on Matlab/Simulink. The simulation results demonstrated the efficiency of the intelligent ACO-FOC control, which delivers good performance in terms of stability, rapidity, and torque fluctuations.
In the framework of increasing research to new sources of production of electrical energy among
them renewable energies, this thesis presents a contribution to the study and the robust control of
doubly fed induction aerogenerator for objective to exploit the wind energy to produce a clean
energy without pollution.
Firstly, we are exposed the mathematical models of each element of the aerogenerator (the wind
turbine and its control MPPT + the doubly fed induction generator and its vector control).
For optimized the gains of traditional regulators PI to obtain good performances, we search to
determine the coefficients of regulators PI used for the vector control of the doubly fed induction
generator without the recourse to the traditional analytical methods for calculation as of the
latter. For those we try to develop an algorithm by the method of particle swarm (PSO) while
visualizing the objective function (fitness) which we search to minimize the error in a system
control between the input signal and the output signal.
The laws of traditional control of kind PI applied to the doubly fed induction generator give good
results in the case of the linear systems has constant parameters. For nonlinear systems where
having inconstant parameters, these laws of traditional control can be insufficient because they
are not robust. For this we must call has laws of control insensitive to the perturbations and the
nonlinear cases. The sliding mode control with its nonlinear nature constitutes a good solution
with these problems involved in the traditional control.
In the last part of this thesis, we are applied the sliding mode control to control active and
reactive power with the use of an inverter controlled by SVM technique to improve the quality of
electric energy for injected this energy in the electric network where the simulation has been
effected under Matlab/Simulink environment. The obtained simulation results by the application
of sliding mode control to the doubly fed induction aerogenerator are considerably acceptable.
In the framework of increasing research to new sources of production of electrical energy among
them renewable energies, this thesis presents a contribution to the study and the robust control of
doubly fed induction aerogenerator for objective to exploit the wind energy to produce a clean
energy without pollution.
Firstly, we are exposed the mathematical models of each element of the aerogenerator (the wind
turbine and its control MPPT + the doubly fed induction generator and its vector control).
For optimized the gains of traditional regulators PI to obtain good performances, we search to
determine the coefficients of regulators PI used for the vector control of the doubly fed induction
generator without the recourse to the traditional analytical methods for calculation as of the
latter. For those we try to develop an algorithm by the method of particle swarm (PSO) while
visualizing the objective function (fitness) which we search to minimize the error in a system
control between the input signal and the output signal.
The laws of traditional control of kind PI applied to the doubly fed induction generator give good
results in the case of the linear systems has constant parameters. For nonlinear systems where
having inconstant parameters, these laws of traditional control can be insufficient because they
are not robust. For this we must call has laws of control insensitive to the perturbations and the
nonlinear cases. The sliding mode control with its nonlinear nature constitutes a good solution
with these problems involved in the traditional control.
In the last part of this thesis, we are applied the sliding mode control to control active and
reactive power with the use of an inverter controlled by SVM technique to improve the quality of
electric energy for injected this energy in the electric network where the simulation has been
effected under Matlab/Simulink environment. The obtained simulation results by the application
of sliding mode control to the doubly fed induction aerogenerator are considerably acceptable.
