Stator Flux Oriented Sliding Mode Control of Sensorless Induction Motor Drives by Kalman Filter

Salvatore, N.; Cascella, Giuseppe Leonardo; Stasi, S.; Cascella, Davide

doi:10.1109/iecon.2007.4459895

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the classical DSFOC scheme, there are four PI controllers, namely, a torque controller, a flux controller, and two current controllers, and tuning of these controllers represents a burden on the design of the control system. Because of the nonlinear nature of induction motor parameters, there are many attempts to replace the linear (PI) controllers with nonlinear controllers such as in Salvatore et al (2007), Nguyen et al (2020). However, all these control schemes suffer from the difficulty of design and the burden of calculations.…”

Section: Introductionmentioning

confidence: 99%

A new simplified sensorless direct stator field-oriented control of induction motor drives

2022

View full text Add to dashboard Cite

A field-orientation scheme is a typical control technique of induction motors to obtain sophisticated performance. The stator field-oriented control is less sensitive to parameter variations than the rotor field-oriented control. In addition, the estimation of the stator flux is more accurate than that of the rotor flux. Therefore, the stator flux system is considered a good choice for variable speed drives. However, the traditional configuration of the system includes four PI controllers which need effort in tuning. In this article, simple calculations are proposed such that the configuration and performance of the stator field-oriented control systems are improved by including only two PI controllers. In addition, with the aid of the machine phase axes, a simple procedure for the speed estimation target is suggested to effectively estimate the rotor speed of the machine with a direct estimation without any need for a PI controller or additional observers in the speed observer procedure. The obtained results confirm the effectiveness of the proposed control scheme.

show abstract

Section: Introductionmentioning

confidence: 99%

A new simplified sensorless direct stator field-oriented control of induction motor drives

2022

View full text Add to dashboard Cite

show abstract

Sensorless Speed Control of AC Machines

2021

High Performance Control of AC Drives With MATLAB®/Simulink

View full text Add to dashboard Cite

Sensorless Speed Control of AC Machines

Abu‐Rub

Iqbal

Guziński

2012

High Performance Control of AC Drives With MATLAB/Simulink Models

View full text Add to dashboard Cite

Sensorless speed control of induction machine (IM) drives has, in the past decade, become a mature technology for a wide speed range [1][2][3].The elimination of the rotor speed sensor, without affecting performance, is a major trend in advanced drives control systems [1]. The advantages of speed sensorless AC drives are reduced hardware complexity, lower costs, elimination of the sensor cable, better noise immunity, increased reliability, access to both sides of the shaft, less maintenance requirements, and higher robustness. An encoder is expensive and a problematic factor. The special motor shaft extension increases the drive's price. The use of encoders affects the reliability, particularly in hostile environments. In general, the operation in explosive, corrosive, or chemically aggressive environments requires a motor without a speed sensor.A variety of different solutions for sensorless AC drives have been proposed, mostly in the past two decades. Their advantages and limits are reviewed in many survey papers .Many methods are generally accepted as better solutions for high sensorless performance, for example, model reference adaptive system (MRAS), Kalman Filters, adaptive non-linear flux observer, sliding mode observers, and other improvements [7-14]. Sensorless Control of Induction MotorTwo basic approaches are used for sensorless control. The first includes methods that model the induction motor by its state equations [1]. A sinusoidal magnetic field in the air gap is assumed.High Performance Control of AC Drives with MATLAB/Simulink Models, First Edition. Haitham Abu-Rub, Atif Iqbal, and Jaroslaw Guzinski.The models are either implemented as open-loop structures, like the stator model [1,11], or as closed-loop models, like adaptive observers [5,17]. The adaptive flux observers are now receiving considerable attention and many achieving new solutions because of their high precision and relative robustness against machine parameter deviation [1,10].Open loop models and even adaptive observers have stability limits at very low stator frequencies. The rotor induced voltage at such operating points is then zero or close to zero, which renders the induction motor an unobservable system.The basic limitation for sensorless operation is the DC offset components in the stator current and voltage acquisition channels at very low speeds [1]. At lower speeds, voltage distortions caused by the PWM inverter become significant.The second approach used for low speed sensorless operation is the signal injection technique [1]. Carrier injection methods for sensorless control are sophisticated and the design must match the properties of the motor [1,4,18,41]. This makes the method unfeasible for practical application, so will not be discussed in this book.Eliminating the speed sensor from the drive system requires estimation of the state variables, for example, motor speed and machine flux using stator variables. In this chapter we will discuss a few simple solutions for sensorless AC motor drives.

show abstract

Stator Flux Oriented Sliding Mode Control of Sensorless Induction Motor Drives by Kalman Filter

Cited by 4 publications

References 7 publications

A new simplified sensorless direct stator field-oriented control of induction motor drives

A new simplified sensorless direct stator field-oriented control of induction motor drives

Sensorless Speed Control of AC Machines

Sensorless Speed Control of AC Machines

Contact Info

Product

Resources

About