Abstract
This paper introduces a direct model predictive voltage control (DMP VC) for a sensorless five-phase induction motor drive. The operation of the proposed sensorless DMP VC is based on the direct control of the applied stator voltages instead of controlling the torque and flux as in model predictive direct torque control (MP DTC). Thus, the simplicity of the control system is enhanced, which saves the computational time and reduces the commutation losses as well. The methodology based on which the proposed sensorless DMP VC performs its operation depends on minimizing a cost function that calculates the error between the reference and actual values of the direct and quadrature (d-q) axes components of stator voltages. The reference values of d-q components of stator voltages are obtained through incorporating the deadbeat control within the proposed model predictive system. A robust back-stepping observer is proposed for estimating the speed, stator currents, rotor flux, and rotor resistance. The validity of the proposed sensorless DMP VC is confirmed through performing detailed and extensive comparisons between the proposed DMP VC and MP DTC approach. The obtained results state that the drive is exhibiting better performance under the proposed DMP VC with less ripples content and reduced computational burden. Moreover, the proposed back-stepping observer has confirmed its effectiveness in estimating the speed and other variables for a wide range of speed operation.
Highlights
The multiphase machine drives have been given great concern due to their various advantages compared with the three-phase AC machine drives [1,2,3]. ese advantages can be addressed in the form of high robustness, smooth torque profile, reduced ripples content in the controlled variables, reduced current rating for each phase of the stator, and enhanced fault-ride through capability [4,5,6]
Many control topologies have been presented for controlling the operation of the five-phase induction motor (FPIM) drives so that an optimal performance can be obtained from the drive in terms of low ripple contents, high efficiency, and ease of practical implementation. e direct torque control (DTC) and field oriented control (FOC) are considered as the most used control topologies for the majority of electric machine drives [13,14,15,16]
To overcome the shortages of the DTC and FOC approaches, the model predictive control (MPC) principle has been presented for the FPIM drive in different forms
Summary
The multiphase machine drives have been given great concern due to their various advantages compared with the three-phase AC machine drives [1,2,3]. ese advantages can be addressed in the form of high robustness, smooth torque profile, reduced ripples content in the controlled variables, reduced current rating for each phase of the stator, and enhanced fault-ride through capability [4,5,6]. To overcome the shortages of the DTC and FOC approaches, the model predictive control (MPC) principle has been presented for the FPIM drive in different forms. As a solution for these issues, the current paper proposes a direct model predictive voltage control (DMP VC) approach for a sensorless FPIM drive. In order to solve the chattering problem, higher-order sliding modes have been utilized, which resulted in increasing the system’s complexity Another senseless procedure has implemented the extended Kalman filter for estimating the speed [23]. Majority of the methods that have been used for observing the states of the induction machine depending on the back-stepping principle and introduced in the literature have been mainly utilized for estimating the resistive and inductive parameters of the machine in the presence of mechanical speed sensor. A comparison has been carried out in terms of switching frequencies and number of commutations and in terms of the computational time and switching losses
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
