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A new simplified sensorless direct stator field-oriented control of induction motor drives
... Many control loops were used for enhancing the electric motor drive and the vehicle efciency. Te major of these researchers were exposed a standard control loops as it is in [26,27]. Other intelligent control topologies were exposed in [28,29], where deep learning is used for enhancing the efciency of the electrical motor generator. ...
EVs sufer from short driving range because of limited capacity of the battery. An advantage of EVs over internal-combustion vehicles is the ability of regenerative braking (RB). By this advantage, EVs can develop energy by RB which can be stored in the battery for later use to increase the driving range of EVs. Tere are diferent motors that can be used in EVs, and the control during RB mode is dedicated for certain motor types. However, the previous studies for EV-based IM drives consider the motor-speed control without considering its RB. Tis paper proposes a robust control of induction motor (IM) during RB mode of EVs. Te proposed control system is simple and depends only on mathematical calculations. Te obtained results confrm the efectiveness and accuracy of the suggested control strategy with a good dynamic behavior under diferent operating conditions. Also, the results assure the robustness of control capabilities under parameters uncertainties during the RB mode of EV-based IM drives.
This paper proposes to use a simple stator flux oriented-sliding mode control scheme in conjunction with a novel delayed-state Kalman filter based algorithm, estimating the stator flux linkage components, to realize sensorless induction motor drives. This control scheme has closed loops of torque and stator flux without Pi-type controllers and a minimum number of controller gains is required to obtain good performance without fine tuning. The delayed-state Kalman filter-based algorithm has the state-vector dimension 2times1. The measurement and model errors covariance matrices have dimension 2times2 and are diagonal. As a consequence the setting is not hard because only two parameters must be tuned. Moreover the proposed algorithm gives accurate estimates of stator flux linkage components in transient operations so that can be used in flux rising operations and in field weakening region. Experiments show that the new sensorless control is stable and effective at high and low speeds.
This paper presents a novel method for efficiency enhancement of indirect field-oriented control of induction motor drive. The efficiency of the electric vehicle is improved by optimization of rotor flux in the facets of load variations. Model reference adaptive system (MRAS)-based estimation of speed and torque is used in loss model to evaluate the loss components corresponding to d-axis and q-axis stator current. The improved efficiency is achieved by making these losses equal. The error between the losses is reduced by PI regulator to obtain the most suitable rotor flux of the drive. Furthermore, particle swarm optimization, grey wolf optimization and salp swarm algorithms are used to tune the parameters of PI controller. The suggested scheme is simulated by considering the operation of induction motor drive under realistic conditions. The results obtained are compared with the standard constant rotor flux operation. The sensitivity of the suggested scheme to variations in induction motor parameters is also carried out to ensure its robustness. It is revealed from the results that salp swarm algorithm (SSA) provides the significant improvement in efficiency of induction motor in comparison to the constant flux operation.
As an efficient control strategy, model predictive current control (MPCC) has rapid response and simple calculation. This paper proposes an improved MPCC scheme for permanent-magnet synchronous hub motor (PMSHM) drives. The mentioned control scheme uses the parameter values at the last moment to obtain the back electromotive force (EMF) and utilizes the obtained back EMF to obtain the predicted current value at the next moment. In the actual application of the motor, to enhance the robustness of the control system, a sliding mode controller is used to replace the conventional PI speed loop, and a finite position phase-locked loop based on the dichotomy is added to achieve sensorless speed control and provide an accurate rotor position angle. To improve the steady-state performance, the method of duty cycle is introduced, and the null vector and the actual vector are used together in the same control cycle. The simulation and experimental results both show the effectiveness of the proposed MPCC scheme, and the steady-state performance of MPCC is greatly improved compared with traditional MPCC.
Aim of this study is to investigate a sensor-less speed-observer with the principles of vector control for the industrial applications of Wound-Rotor Induction Motors (WRIM). The proposed estimation method is based on a simple topology to efficiently predict the rotor-speed signal with the aid of the phase axes relations of the adopted motor and using the flux orientation scheme with the indirect type (IRFOC). To effectively verify the efficacy of the presented sensor-less control system, overall results are carried out. The realised analysis validates the proposed estimation method for the rotor-speed of WRIM, which ensures its capability for sensor-less vector control methodology of the adopted system.
In this paper, decoupled Stator Flux Oriented Control for induction motor drive systems Fed by Indirect Matrix Converter is described. Flux vector estimation accuracy is affected by the rotor parameters in rotor flux-oriented control. The algorithm has the disadvantage of sensitivity to rotor parameters. Aimed at these problems, a control strategy of induction motors with stator flux orientation is presented. Since the estimation of the stator flux is independent of the leakage, the steady state performance of the stator flux oriented system is insensitive to the leakage inductance. A decoupler is designed to minimize the coupling in the stator flux and rotor speed and hence the dynamic performance of the system is improved. This application utilizes the advantages of SFOC method and the advantages of indirect matrix converter. As it is known, an indirect matrix converter consists of two stages: line and load stage. The line stage is a rectifier and the load stage is conventional voltage source inverter. In the present work, in order to reduce losses in the rectifier stage, caused by snubber circuit the four-step commutation method is employed. A simulation of the overall system has been carried out to evaluate the proposed method. The obtained results are presented in this paper.
A new control strategy of induction motors with stator flux orientation (SFOC) that combines the advantages of both Vector Control and Direct Torque Control is presented. According to the dynamic model of induction motors, stator flux is controlled effectively. Based on the fuzzy logic control theory,the stator resistance estimator is designed to identify stator resistance and on-line compensate. The Simulation confirmed the feasibility of the method.
In the proposed paper, an improved sensorless vector control method for induction motor drive systems is presented. The proposed method is based on a combined heuristic flux observer, which is designed especially for low speed operation, for a wide variety of load conditions. A closed-loop flux observer is achieving precise flux estimation for the load condition, while another observer is capable for low or no-load operation in the low speed range, without having the drift problems of the conventional observers. Combining the two observers results to an optimized observer, which obtains precise flux estimation in the low-speed range. Based on this, a direct stator-flux-oriented vector control method is implemented. In addition, sensorless speed control of the induction motor is achieved using a speed observer based on the model reference adaptive schemes theory and an optimally tuned speed controller. In the current work, the principle of operation of the closed-loop observer, as well as operation problems occurring at low and zero-load are discussed. In the need of efficient operation at zero-load, another observer is introduced. The two observers are combined and the resulting observer is presented. The operation and efficiency of the proposed method is investigated using the simulation and then experimental proof is obtained, where characteristic results are shown.
Field-oriented-controlled induction motor drives have been widely
used over the last several years. Conventional direct
stator-flux-oriented control schemes have the disadvantage of poor
performance in the low-speed operating area when the stator flux is
calculated using the voltage model, due to the stator resistance
uncertainties and variations. In this paper, a new closed-loop
stator-flux estimation method for a stator-flux-oriented
vector-controlled induction motor drive is presented in which the stator
resistance value is updated during operation. This method is based on a
simple algorithm capable of running in a low-cost microcontroller, which
is derived from the dynamic model of the induction machine. The effects
of stator resistance detuning, especially in the low-speed operating
region, are investigated and simulation results are shown. The motor
drive system as well as the control logic and the resistance estimator
are simulated and characteristic simulation results are derived. In
addition, the proposed control scheme is experimentally implemented and
some characteristic experimental results are shown. The simulation as
well as the experimental results reveal that the proposed method is able
to obtain precise flux and torque control, even for very low operating
frequencies
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