Review of Sliding Mode Observers for Sensorless Control of Permanent Magnet Synchronous Motor Drives

Ram, G. Challa; Santha, K.R.

doi:10.11591/ijpeds.v9.i1.pp46-54

Cited by 11 publications

(10 citation statements)

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“…In the sliding model, we can see some insensitivity of the regulator device but this is not seen in the case of reaching phase. There are some uncertainties in this reaching phase and hence this phase is impacted directly by these uncertainties [7], [8], [11], [12], [15], [16], [21]. (7) is the state in which sliding surfaces are present.…”

Section: The Proposed For Adaptive Fuzzy-sliding Mode Regulator 31 Sliding Mode Control Of Pmlsmmentioning

confidence: 99%

“…These make the implementation of power converters easier and some of the electrical machines depend on its prospective control methods. [11], [12]. Since the communication is implied between the controllers, SMC is a type of variable structure scheme.…”

Section: Introductionmentioning

confidence: 99%

“…In the end, SMC has a discontinuous kind of switching feature nature and the control system is chattering is caused due to it. [11], [12], [15], [16]. To reduce or mitigate the chattering phenomenon effects, numerous approaches have been proposed [17]- [20].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive fuzzy sliding mode controller design for PMLSM position control

Makhloufi

Bousserhane

Zegnoun

2021

IJPEDS

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We focus a modern methodology in this paper for adding the fuzzy logic control as well as sliding model control. This combination can enhance the MLS position control robustness and enhanced performance of it.In the start, for an application in an area to control the loops placement and position for the synchronous motor what has permanent magnetic linearity we tend to control the fuzzy sliding mode control. To resolve the chattering issues a designed controller is investigated and, in this way, steady state motion in sliding with higher accuracy is obtained. In this case, method of online tuning with the help of fuzzy logic is used in order to adjust the thickness of boundary layer and switching gains.For the suggested scheme technique, the outcomes of simulation suggest that with the classical SMC the accurate state and good dynamic performance is compared due to force chattering resistance, response by quick dynamic force and external disturbance elements and robustness against them.

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Section: The Proposed For Adaptive Fuzzy-sliding Mode Regulator 31 Sliding Mode Control Of Pmlsmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive fuzzy sliding mode controller design for PMLSM position control

Makhloufi

Bousserhane

Zegnoun

2021

IJPEDS

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“…The sliding mode controller (SMC) is a non-linear control method that changes the dynamics of a non-linear system which forces the system to slide. The SMC well known by its robustness, high stability and simple implementation [1][2][3][4][5]. One application of SMC is the control of electric drives operated by switching power converters.…”

Section: Introductionmentioning

confidence: 99%

High performance DC/DC buck converter using sliding mode controller

Al-Qaisi¹,

Shehab²,

Al-Gizi³

et al. 2019

IJPEDS

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This paper investigated the performance of the sliding mode control technique for dc/dc converter using frequency response method. The applications of the step down type switching regulator) buck converter (are found in the devices that use batteries as power source like laptop, cell phones, electric vehicle, and recently, it has also been used in the renewable energy processing, as a maximum output power can be achieved at higher efficiency. In order to optimize the efficiency and for convenient power management, the issues like power on transients, the effect of load variation, Switching and Electromagnetic interference (EMI) losses has to be overcome for which controllers are used. In the proposed method, pulse width modulation (PWM) based on proportional-integral-derivative sliding mode voltage controller (PID SMVC) is designed for a buck converter and the response for appropriate control parameters has been obtained. The system stability has been examined and analyzed from the performance characteristics, which shows clearly that the buck converter controlled by the sliding mode controller has fast dynamic response and it’s very efficient for various applications.

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“…PMSMs certainly have more advantages in terms of power density, higher efficiency and reliability, compact size, and better dynamic performance [1][2][3][4][5]. PMSM is also very popular since its design and constructions can be custom-made in numerous applications according to the performance required.…”

Section: Introductionmentioning

confidence: 99%

Design and fault tolerant analysis of five-phase permanent magnet synchronous motor

Saari

Ishak

2019

IJEECS

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This paper presents a design of 15-slot/12-pole, five-phase, surface-mounted permanent magnet synchronous motor (PMSM). The five-phase PMSM can be an attractive solution to few applications that demand fault tolerant capability such as in aerospace engineering and electric propulsion. The motor model is first investigated based on the implementation of analytical method. The analytical method derived from the subdomain model of the permanent magnet machine is initially applied to estimate the magnetic flux density distributions for the radial component Br and the tangential component Bt in the machine air gap. Other important motor characteristics such as phase back-EMF, line back-EMF, cogging torque and electromagnetic torque are also calculated. The analytically calculated results are then compared with the numerical method in a 2D finite element analysis. Additionally, the capability of this PMSM model against faulty conditions are further investigated. The results show that the analytical model of the 15-slot/12-pole, five-phase PMSM provides very accurate motor performance within acceptable error margin. For instance, the average electromagnetic torques, inclusive of the cogging torque, as computed by the analytical and numerical methods are 5.53Nm and 5.33Nm respectively, yielding an error of 3.6%. During faulty conditions, the PMSM can possibly continue to operate with lower output torque, about 60% to 80% of its rated torque, when one-phase or two phase windings are out of service.

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Review of Sliding Mode Observers for Sensorless Control of Permanent Magnet Synchronous Motor Drives

Cited by 11 publications

References 0 publications

Adaptive fuzzy sliding mode controller design for PMLSM position control

Adaptive fuzzy sliding mode controller design for PMLSM position control

High performance DC/DC buck converter using sliding mode controller

Design and fault tolerant analysis of five-phase permanent magnet synchronous motor

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