Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Anwer, Abbas Mahmood Oghor; Omar, Fuad Alhaj; Bakır, Hale; Kulaksız, Ahmet Afşin

doi:10.5755/j01.eie.26.1.25308

Cited by 12 publications

(9 citation statements)

References 23 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application of extended Kalman filter on the five-phase PMSM will be presented. EKF is known as an optimum recursive estimation method that are utilized to estimate nonlinear systems [48]. To build the EKF model applied to the five-phase PMSM base multiphase drive requires the knowledge of machine continuous model and its discrete from [44][45][46][47][48].…”

Section: Extended Kalman Filtermentioning

confidence: 99%

“…EKF is known as an optimum recursive estimation method that are utilized to estimate nonlinear systems [48]. To build the EKF model applied to the five-phase PMSM base multiphase drive requires the knowledge of machine continuous model and its discrete from [44][45][46][47][48]. First, the mathematical representation of five-phase PMSM in the (d-q) rotating reference in presence of the system and measurement noises w and v can be written in the following from:…”

Section: Extended Kalman Filtermentioning

confidence: 99%

“…To solve this issue, sensorless control technology is used to avoid using mechanical sensors. A lot of speed observers have been proposed in the literature [42][43][44][45][46][47][48]. In this work, a simple approach based on extended Kalman filter (EKF) is adopted, where the rotor speed and rotor position as well as the load torque are estimated, this observer is known by its rapid and accurate estimation [47].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimum Design of Fractional Order PIᵅ Speed Controller for Predictive Direct Torque Control of a Sensorless Five-Phase Permanent Magnet Synchronous Machine (PMSM)

Bounasla¹,

Barkat²

2020

JESA

View full text Add to dashboard Cite

In both direct torque control (DTC) and predictive direct torque control (PDTC) strategies, just single voltage vector is applied. The question arose, is this applied vector the optimumin terms of minimizing torque and stator flux ripples? In DTC, it may not be the optimum one. However, in case of PDTC, there is a possibility to evaluate the performance of different voltage vectors, where a cost function is proposed to determine the appropriate voltage vector that brings the lowest torque and stator flux ripple within one cycle. On the other hand, PI controller provides a good performance but if the parameters change, the system may lose its performance. With the aim of enhancing the robustness of the PDTC scheme, a fractional order PI controller is proposed that can be considered as a generalization of the classical PI controller, and to set its parameters, a Grey Wolf Optimization algorithm is employed. Furthermore, omitting the sensor increases reliability and decrease the size and cost of the drive system. For these reasons, an extended Kalman filter observer is adopted, where the rotor speed and rotor position as well as the load torque are estimated. In this work, a fractional order PI controller tuned by GWO for PDTC of a five-phase permanent magnet synchronous machine (PMSM) based on EKF observer is presented. Analysis of simulation results exhibit clearly the efficiency and robustness of the suggested control compared to conventional DTC based on classical PI controller.

show abstract

Section: Extended Kalman Filtermentioning

confidence: 99%

Section: Extended Kalman Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimum Design of Fractional Order PIᵅ Speed Controller for Predictive Direct Torque Control of a Sensorless Five-Phase Permanent Magnet Synchronous Machine (PMSM)

Bounasla¹,

Barkat²

2020

JESA

View full text Add to dashboard Cite

show abstract

“…This implies that the above mentioned conventional methods easily fall into the local maxima traps with any local maximum power peak, i.e., failing to achieve the available global MPP. Thus, the improved methods exhibit great efforts to obtain the global value, such as using improved IC algorithm [7] or improved P&O method [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm-based MPPT Strategy for PV Power Systems under Partial Shading Conditions

Chiu

Ngo

2022

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

This paper proposes a new simple method based on the simulation of a short-distance running race in athletics to track the maximum power point (MPP) for photovoltaic (PV) power systems, which can improve the tracking speed and search accuracy. In detail, the DC-DC boost converter is utilized to transfer the power of PV panels to a load and follows the MPP all the time, regardless of the environmental temperature and variant solar irradiance. In the MPP search method based on the proposed short-distance running algorithm (SDRA), an appropriate duty ratio value will be found so that the load receives the highest electrical power from the PV energy system. As a result, the SDRA method has excellent MPP tracking ability with high convergence speed and no oscillation. The efficiency of the proposed method is verified by simulation and experiments. The proposed SDRA method overcomes the obstruction of local traps to achieve global MPP. The results have shown that the SDRA method has advantages in terms of better convergence speed and performance than the particle swarm optimization (PSO) and grey wolf algorithm (GWA) methods when they are operated under the same conditions.

show abstract

“…2, the operating point can be set at the MPP to yield the highest efficiency level [9]. That is, the MPPT system can be defined as follows; it is a fully electronic system that modifies the position of the electrical operating point of the PV panels (by changing the duty cycle) so that the PV panels can produce maximum obtainable power [10].…”

Section: Introductionmentioning

confidence: 99%

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms

Omar

Kulaksız

2021

Neural Comput & Applic

Self Cite

View full text Add to dashboard Cite

The classical maximum power point tracking (MPPT) approaches are powerful under uniform irradiance conditions. However, under partial shading conditions, they fail to find the global maximum power point (GMPP) and are trapped in one of the local maximum power points (MPPs), resulting in loss of power. This paper presents an experimental investigation of a novel hybrid MPPT approach for photovoltaic systems working under partial shading conditions (PSCs). In the proposed hybrid approach, the firefly algorithm (FA) is modified and employed for global searching through two loops, and the perturbation and observation (P&O) algorithm is used for local searching through one loop. The model of the proposed algorithm is built in the environments of MATLAB/Simulink and Proteus virtual system modeling (VSM) while the experimental study is conducted using a 32-bit microcontroller. The simulation and experimental results are collected under irregular irradiance conditions and PSCs. The results demonstrate that the proposed algorithm exhibits superior performance in the task of finding and tracking the GMPP, shows high sensitivity in capturing any variation in atmospheric conditions, reduces the convergence time to the GMPP and reduces the steady-state oscillation around the optimal operating point. This finding has important implications for developing photovoltaic generation systems.

show abstract

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Cited by 12 publications

References 23 publications

Optimum Design of Fractional Order PIᵅ Speed Controller for Predictive Direct Torque Control of a Sensorless Five-Phase Permanent Magnet Synchronous Machine (PMSM)

Optimum Design of Fractional Order PIᵅ Speed Controller for Predictive Direct Torque Control of a Sensorless Five-Phase Permanent Magnet Synchronous Machine (PMSM)

A Novel Algorithm-based MPPT Strategy for PV Power Systems under Partial Shading Conditions

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms

Contact Info

Product

Resources

About