Control Strategy of a Five-Phase Induction Machine Supplied by the Current Source Inverter With the Third Harmonic Injection

Morawiec, Marcin; Wilczyński, Filip

doi:10.1109/tpel.2022.3148526

Cited by 12 publications

(2 citation statements)

References 35 publications

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“…Consequently, the associated power electronics (voltage source converters) also function at smaller voltages and currents. Another feature is that the cumulative rates of power in multiphase machines can be raised without stressing the connected converters (Morawiec and Wilczynski, 2022; Morawiec et al , 2020; Khadar et al , 2021). Furthermore, the frequency of PWM inputs can be increased while the amplitude of such inputs can be reduced, and this signifies avoidance of mechanical vibrations during the functioning of the motor.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for the five-phase induction motor-based traction system of electric vehicles

Rigatos,

Siano,

Al-Numay

et al. 2024

COMPEL

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Purpose The purpose of this article is to treat the nonlinear optimal control problem in EV traction systems which are based on 5-phase induction motors. Five-phase permanent magnet synchronous motors and five-phase asynchronous induction motors (IMs) are among the types of multiphase motors one can consider for the traction system of electric vehicles (EVs). By distributing the required power in a large number of phases, the power load of each individual phase is reduced. The cumulative rates of power in multiphase machines can be raised without stressing the connected converters. Multiphase motors are also fault tolerant because such machines remain functional even if failures affect certain phases. Design/methodology/approach A novel nonlinear optimal control approach has been developed for five-phase IMs. The dynamic model of the five-phase IM undergoes approximate linearization using Taylor series expansion and the computation of the associated Jacobian matrices. The linearization takes place at each sampling instance. For the linearized model of the motor, an H-infinity feedback controller is designed. This controller achieves the solution of the optimal control problem under model uncertainty and disturbances. Findings To select the feedback gains of the nonlinear optimal (H-infinity) controller, an algebraic Riccati equation has to be solved repetitively at each time-step of the control method. The global stability properties of the control loop are demonstrated through Lyapunov analysis. Under moderate conditions, the global asymptotic stability properties of the control scheme are proven. The proposed nonlinear optimal control method achieves fast and accurate tracking of reference setpoints under moderate variations of the control inputs. Research limitations/implications Comparing to other nonlinear control methods that one could have considered for five-phase IMs, the presented nonlinear optimal (H-infinity) control approach avoids complicated state-space model transformations, is of proven global stability and its use does not require the model of the motor to be brought into a specific state-space form. The nonlinear optimal control method has clear implementation stages and moderate computational effort. Practical implications In the transportation sector, there is progressive transition to EVs. The use of five-phase IMs in EVs exhibits specific advantages, by achieving a more balanced distribution of power in the multiple phases of the motor and by providing fault tolerance. The study’s nonlinear optimal control method for five-phase IMs enables high performance for such motors and their efficient use in the traction system of EVs. Social implications Nonlinear optimal control for five-phase IMs supports the deployment of their use in EVs. Therefore, it contributes to the net-zero objective that aims at eliminating the emission of harmful exhaust gases coming from human activities. Most known manufacturers of vehicles have shifted to the production of all-electric cars. The study’s findings can optimize the traction system of EVs thus also contributing to the growth of the EV industry. Originality/value The proposed nonlinear optimal control method is novel comparing to past attempts for solving the optimal control problem for nonlinear dynamical systems. It uses a novel approach for selecting the linearization points and a new Riccati equation for computing the feedback gains of the controller. The nonlinear optimal control method is applicable to a wider class of dynamical systems than approaches based on the solution of state-dependent Riccati equations.

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Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control for the five-phase induction motor-based traction system of electric vehicles

Rigatos,

Siano,

Al-Numay

et al. 2024

COMPEL

View full text Add to dashboard Cite

show abstract

“…Consequently, the associated power electronics (voltage source converters) function also at smaller voltages and currents. Another feature is that the cumulative rates of power in multiphase machines can be raised without stressing the connected converters (Khadar et al, 2021;Morawiec and Wilczynski, 2022;Morawiec et al, 2020). Furthermore, the frequency of PWM inputs can be increased while the amplitude of such inputs can be reduced, and this signifies avoidance of mechanical vibrations during the functioning of the motor.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Optimal Control for a Gas Compressor Actuated by a Five-Phase Induction Motor

Rigatos,

Abbaszadeh,

Sari

et al. 2023

Power Electronics and Drives

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The article proposes a nonlinear optimal control method for the dynamic model of a gas centrifugal compressor being actuated by a five-phase induction motor (5-phase IM). To achieve high torque and high power in the functioning of gas compressors, 5-phase IM appear to be advantageous in comparison to three-phase synchronous or asynchronous electric machines. The dynamic model of the integrated compression system, which comprises the gas compressor and the 5-phase IM, is first written in a nonlinear and multivariable state-space form. It is proven that the electrically driven gas-compression system is differentially flat. Next, this system is approximately linearised around a temporary operating point that is recomputed at each sampling interval. The linearisation is based on first-order Taylor series expansion and uses the computation of the Jacobian matrices of the state-space model of the integrated system. For the linearised state-space description of the compressor and 5-phase IM, a stabilising optimal (H-infinity) feedback controller is designed. This controller achieves a solution to the nonlinear optimal control problem of the compressor and 5-phase IM system under model uncertainty and external perturbations. The feedback gains of the controller are computed by solving an algebraic Riccati equation at each iteration of the control method. Lyapunov analysis is used to demonstrate global stability for the control loop. Additionally, the H-infinity Kalman filter is used as a robust state estimator, which allows for implementing sensorless control for the gas compression system.

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LSTM-ANN based DTC of Induction Motor with 5 Level Inverter

Singh,

Kannagi,

Goswami

et al. 2024

E3S Web of Conf.

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Medium voltage drives especially induction motor drives are mostly using in industries for many applications. The precious intelligent control of induction motors are high required in nuclear power generation units. Direct torque control (DTC) of induction motors is commonly selected for achieving smooth speed torque characteristics as compared with other existing control techniques. However, conventional DTC suffers from many issues because of maintaining constant reference flux in all the speed regions. Hence two ANN controllers based novel DTC is implemented in this paper. Three phase five level neutral point clamped (5L-NPC) inverter is used to drive the induction motor. The dc-link is established through 36 pulse rectifier. Moreover, photovoltaic (PV) system along with battery bank is also integrated to provide continuous power supply during off grid. An unchanging dc-link voltage is achieved by utilizing a bidirectional dc-dc circuit that is connected between the dc-link and the battery. The proposed control of dc-dc bidirectional circuit can further reduce the ripples and oscillations in dc-link produced by 36 pulse rectifier during unbalanced grid voltages. Realistic responses are presented in this paper by establishing hardware – in the – loop (HIL) with the help of OPAL-RT modules. The HIL based results are discussed under various case studies in this paper.

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Control Strategy of a Five-Phase Induction Machine Supplied by the Current Source Inverter With the Third Harmonic Injection

Cited by 12 publications

References 35 publications

Nonlinear optimal control for the five-phase induction motor-based traction system of electric vehicles

Nonlinear optimal control for the five-phase induction motor-based traction system of electric vehicles

Nonlinear Optimal Control for a Gas Compressor Actuated by a Five-Phase Induction Motor

LSTM-ANN based DTC of Induction Motor with 5 Level Inverter

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