Application of Fractional Order Sliding Mode Control for Speed Control of Permanent Magnet Synchronous Motor

Zaihidee, Fardila Mohd; Mekhilef, Saad; Mubin, Marizan

doi:10.1109/access.2019.2931324

Cited by 93 publications

(62 citation statements)

References 59 publications

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“…The phase currents of ADT_PMSM after the VSD matrix will be mapped into α-ß and x-y subspaces, which can be expressed in equation (2). The other variables (flux, voltage) can be derived in a similar way.…”

Section: Phase Windings Of Adt_pmsm Fed By Two Three-phase Vsismentioning

confidence: 99%

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Vector Control of Asymmetric Dual Three-Phase PMSM in Full Modulation Range

Zhu

et al. 2020

IEEE Access

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The total control range of asymmetric dual three-phase permanent magnet synchronous motor (ADT_PMSM) is divided into three different segments by voltage modulation range and current control dimensions and respective control strategies to get the injected voltages in harmonic subspace for three segments are presented in this paper. The three segments are sinusoidal current modulation region, sinusoidal voltage modulation region and overmodulation region. In sinusoidal current modulation region, resonant controller is adopted in the harmonic subspace to calculate the injected voltages, which can compensate the effect of six-phase voltage source inverter (VSI) dead time for two sets of three-phase windings and takes the pole correction into consideration. In sinusoidal voltage modulation region, open loop control strategy in harmonic subspace is adopted. Overmodulation region 1 and 2 are defined in overmodulation region, and the harmonic voltages which are injected into harmonic subspace to extend the modulation index are calculated based on superposition principle and VSD theory. In order to achieve smooth transition from different regions, a novel space vector pulse width modulation (SVPWM) technique for ADT_PMSM is proposed. The experimental results demonstrate the validity and feasibility of the suggested control approach.

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Section: Phase Windings Of Adt_pmsm Fed By Two Three-phase Vsismentioning

confidence: 99%

“…Multi-phase motors received considerable attention lately thanks to the unique characteristics of higher fault tolerance, smaller torque ripples, advanced control strategies and the rapid development of the multilevel inverters [1][2][3][4][5][6]. Among these multiphase motors, ADT_PMSM can have the advantages of multi-phase machines [3].…”

Section: Introductionmentioning

confidence: 99%

Vector Control of Asymmetric Dual Three-Phase PMSM in Full Modulation Range

Zhu

et al. 2020

IEEE Access

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“…The basic idea of SMC is to force the system state trajectories (by applying a designed control law to the system) to slide onto the sliding surface (specific switching manifold) and to define a sliding surface such that tracking errors reach zero along with the sliding surface. SMC scheme has also been employed for different applications to ensure the robustness feature of the controllers (Tchinda et al 2019;Taheri et al 2019;Van Nguyen et al 2019;Zaihidee et al 2019;Eaton et al 2009;Shafiei and Binazadeh 2013;Yousefi and Binazadeh 2018;Elsayed et al 2015). On the other hand, SMC individually merely guarantees asymptotic stability of the system to which it is applied.…”

Section: Introductionmentioning

confidence: 99%

Chattering-Free Trajectory Tracking Robust Predefined-Time Sliding Mode Control for a Remotely Operated Vehicle

Hosseinabadi

Abadi

Mekhilef

et al. 2020

J Control Autom Electr Syst

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This study investigates a new chattering-free robust predefined-time sliding mode control (CFRPSMC) scheme for the trajectory tracking control problem of a three-degree-of-freedom (3-DOF) remotely operated vehicle (ROV) in the presence of matched uncertainties. The advanced notion of predefined-time stability is used to provide a maximum convergence time as desired that can be set during the control design and independently of the initial conditions. Based on defining a new form of sliding surfaces, a new control law is designed to ease the undesirable chattering phenomenon without damaging the robustness properties and tracking precision. The proposed control scheme can not only solve the predefined-time tracking controller design problem, but also provide the robustness to various uncertainties. The Lyapunov stability theory is used to establish the stability analysis of the closed-loop system in both the reaching phase and the sliding phase. The performance of the proposed CFRPSMC scheme is evaluated for the 3-DOF ROV through two comparative simulation cases using Simulink/MATLAB. The comparative simulation results and analytical comparisons demonstrate the efficacy and superiority of the proposed method compared with other relevant conventional methods.

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“…In the implementation of FOC of PMSM, the rotor position is mandatory to achieve desired performance in the motor and for this purpose, rotor position sensors are installed in the PMSM, which increases the cost. To overcome this problem, sensor less vector control methods were introduced and along with these back-stepping methods, sliding mode control and fuzzy controller are mentioned in the literature [7][8][9]. However, these approaches have problem due to constraints of the PMSM.…”

Section: Introductionmentioning

confidence: 99%

Speed control of permanent magnet synchronous motor using neural network model predictive control

Sundharajan

Premkumar²,

Vishnupriya

2020

Journal of Energy Systems

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Model predictive control has been widely used in the industry. This can control the multivariable system with constraints on input and output variables but it needs online computation solver, and creates the nonconvex solution in nonlinear plant due to the parameter uncertainties. The online computational problem and non-convex solution of the model predictive control are achieved via neural network model predictive control. The paper explores the speed control of permanent magnet synchronous motor (PMSM) by using neural network model predictive control (NNMPC) technique. The multi-layer artificial neural network is used to identify the dynamics of PMSM. The set point speed tracking control of PMSM is identified by using neural network model predictive control strategy. By using the set of input and output data obtained from the system, the multi input-output feed-forward neural network model is created. Levenberg-Marquardt algorithm is used to train the process models of the PMSM. That provides future plant output for control optimization of the predictive control. The overall system is developed and tested in the MATLAB/Simulink. To evaluate the efficiency of the controller proposed, it is compared with a constrained model predictive controller through the studies of simulation. The overshoot and settling time of the speed response of the PMSM are measured and analyzed for NNMPC and constrained MPC.

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Application of Fractional Order Sliding Mode Control for Speed Control of Permanent Magnet Synchronous Motor

Cited by 93 publications

References 59 publications

Vector Control of Asymmetric Dual Three-Phase PMSM in Full Modulation Range

Vector Control of Asymmetric Dual Three-Phase PMSM in Full Modulation Range

Chattering-Free Trajectory Tracking Robust Predefined-Time Sliding Mode Control for a Remotely Operated Vehicle

Speed control of permanent magnet synchronous motor using neural network model predictive control

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