Dynamic modeling and control of five phase SVPWM inverter fed induction motor drive with intelligent speed controller

Raja, D.; Ravi, G.

doi:10.1007/s12652-020-01717-5

Cited by 5 publications

(1 citation statement)

References 28 publications

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“…In the literature, earlier works considered similar methods applied to three-phase motors and proposed the extended version of the Proportional-Integral (PI) regulator [8], direct torque control [9], model predictive control [10,11], and others. Recently, advanced digital platforms encouraged the researchers to apply advanced intelligent and nonlinear control techniques such as fuzzy logic [12,13], nonlinear backstepping [14,15], Sliding Mode (SM) control [16][17][18], and others. Among the abovementioned methods, SM control is simply designed and is considered the most effective due to its good features that can be resumed by the following points [19]:…”

Section: Introductionmentioning

confidence: 99%

Discrete Terminal Super-Twisting Current Control of a Six-Phase Induction Motor

et al. 2021

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In this manuscript, the high-accuracy stator currents tracking issue is considered for a six-phase induction motor subject to external perturbations and uncertainties due to unmeasurable rotor currents and electrical parameter variations. To achieve the control goals, the common two-cascade controllers structure is required for this type of motor. The first controller in the outer loop consists of a proportional integral to regulate the speed. Then, the second is the proposed inner nonlinear stator currents controller based on a robust discrete-time terminal super-twisting algorithm supported by the time-delay estimation method. For the design procedure, the discrete-time stator currents dynamics are derived; for example, the vector of the matched perturbations and unmeasurable rotor currents are specified to simplify the estimation. A detailed stability analysis of the closed-loop error dynamics using Lyapunov theory is given. Finally, a real asymmetrical six-phase induction motor is used to implement in real-time the developed method and to illustrate its effectiveness and robustness. The results obtained reveal a satisfactory stator currents tracking in steady state and transient conditions and under variation in the magnetizing inductance. Moreover, a comparative study with an existing method in steady state for two different rotor speeds is presented to show the superiority of the proposed discrete-time technique.

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