Initial Rotor Position Estimation for Sensorless Brushless DC Drives

Champa, P.; Somsiri, P.; Wipasuramonton, P.; Nakmahachalasint, P.

doi:10.1109/tia.2009.2023355

Cited by 58 publications

(15 citation statements)

References 6 publications

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“…Some interesting methods are explained in Ying and Zaiping (2010) and Champa et al (2009). In this work the iron saturation produced in one of the poles (Nort or South depending on the current direction) is applied.…”

Section: Rotor Position Estimation At Standstill and At Very Slow Speedsmentioning

confidence: 99%

Position estimator for a brushless‐DC machine using core saturation and stator current slopes

Dixon

Urrutia

Rodríguez

et al. 2011

COMPEL

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Purpose -This paper is devoted to the investigation of position estimation for a brushless DC machine using only their stator currents. The first application is for a hybrid electric vehicle, where the generator will be used as a motor to start the internal combustion engine (ICE). Design/methodology/approach -This paper describes how to estimate the rotor position of a brushless DC (BLDC). Two different strategies, both based on stator currents, will be used: one for low speeds to start the ICE, and one for normal speeds for future applications in a pure electric vehicle (EV). The first one uses an estimation method based on core saturation and the second one is based on the determination of the current slopes on two of the three phases. The algorithms proposed neither needs to measure any machine parameters, nor the back emf. The methods use the information contained in the current magnitudes and slopes, and the machine mechanical speed. The system was implemented using a Digital Signal Processor (TMS320F241), which controls the phase currents and makes all the calculations required for position estimation. Additionally, the PWM signals are transmitted through a fiber optic link to minimize noise production and error on commutations. Findings -The papers shows how an internal combustion engine can start using this approach in a brushless motor and keep it synchronized. Research limitations/implications -This work is being applied to a hybrid electric vehicle. Originality/value -The paper proposes a new way to start the internal combustion engine for hybrid vehicle applications through the estimation of the magnet's position. It also shows a way to estimate the position at other speeds for battery charging of the vehicle.

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Section: Rotor Position Estimation At Standstill and At Very Slow Speedsmentioning

confidence: 99%

Position estimator for a brushless‐DC machine using core saturation and stator current slopes

Dixon

Urrutia

Rodríguez

et al. 2011

COMPEL

View full text Add to dashboard Cite

show abstract

“…The pulse signal injection methods are often based on estimating using a calculated di/dt, Such methods can be applied to both surface (SPMSM) , and interior PMSM (IPMSM), the initial rotor position is estimated based on the variation of current response caused by the magnetic saturation of the stator, and, it is unnecessary to rely the motor parameters, however, In these methods, initial position estimation accuracy can be affected by additional spatial harmonics and complex operations. In [6] and [7], the rotor position estimation is based on simple detection-and-comparison technique of phase voltages and current responses, resulting from an applied sequence of only three voltage-pulse injections, however, three voltage detectors are required for three motor terminals and low estimation precision.…”

Section: Introductionmentioning

confidence: 99%

Initial position estimation of permanent magnet synchronous motors based on variation behavior of winding inductances

Meng

et al. 2015

2015 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia)

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An estimation method of initial rotor position is a difficult research branch in permanent magnet synchronous motors(PMSM), it is also an important research branch in sensorless technique. In PMSM with a saliency pole structured rotor, influenced by saliency effects, the self-inductance and mutualinductance present periodicity variation, Starting from this feature Firstly, the method of injecting high frequency low voltage pulses is utilized for identifying the line inductance and then the influence of winding current to line inductance are thorough analyzed by Fourier series decomposition. Secondly, using the rotational coordinate transformation, the fundamental harmonic and third harmonic can be eliminated to some extent, and then the inductance can be presented by a sine function, then the position vs. inductance characteristics are modeled for estimating the rotor position. The experimental results show that the proposed method estimates the initial rotor position reliably and efficiently.Index Terms-permanent magnet synchronous motor(PMSM) ; high frequency low voltage pulses; initial rotor position; the position vs. inductance model; rotational coordinate transformation;

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“…In view of this, this paper discusses how to convert the kinetic energy into the electrical one that can be recharged to the battery. [10][11][12][13] Thus, both the electric brake and energy regeneration are achieved A mechanical brake system is also very important for EVs' safety and other operations Coordination of EV mechanical braking and regenerative braking is achieved by a single foot pedal: The first part of the foot pedal controls the regenerative braking, and the second part controls the mechanical brake [6][7][8].This is a seamless transition from regenerative braking to mechanical braking. It cannot be simply achieved by traditional ICE vehicles .…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of BLDC Motor Using Regenerative Braking for Electric Vehicle

G.Maruthaip¹,

Ian²,

Ramkumar³

2015

IJAREEIE

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ABSTRACT:In this paper proposes a simple but effective method of electric brake with energy regeneration for a brushless dc motor, of electric vehicle (EV). BLDC motor control utilizes the traditional proportional-integralderivative (PID) control and the distribution of braking force adopts fuzzy logic Conventionally, EVs use mechanical brake to increase the friction of wheel for the deceleration purpose. However, from the viewpoint of saving energy, the mechanical brake dissipates much energy since the EV's kinetic energy is converted into the thermal one. In view of this, this paper discusses how to convert the kinetic energy into the electrical one that can be recharged to the battery. Thus, both the electric brake and energy regeneration are achieved. In comparison to other solutions, the new solution has better performance in regard to realization, robustness and efficiency. In this paper, we have chosen the three most important factors: SOC, speed and brake strength as the fuzzy control input variables. We have found that RBS can obtain appropriate brake current, which is used to produce brake torque. At the same time, we have adopted PID control to adjust the BLDC motor PWM duty to obtain the constant brake torque. PID control is faster than fuzzy control so the two methods combined together can realize the smooth transition since the braking kinetic energy is converted into the electrical energy and then returns to the battery, the energy regeneration could increase the driving range of an EV.

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Initial Rotor Position Estimation for Sensorless Brushless DC Drives

Cited by 58 publications

References 6 publications

Position estimator for a brushless‐DC machine using core saturation and stator current slopes

Position estimator for a brushless‐DC machine using core saturation and stator current slopes

Initial position estimation of permanent magnet synchronous motors based on variation behavior of winding inductances

Design and Implementation of BLDC Motor Using Regenerative Braking for Electric Vehicle

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