Nonadaptive Rotor Speed Estimation of Induction Machine in an Adaptive Full-Order Observer

Morawiec, Marcin; Kroplewski, Paweł; Odeh, Charles I.

doi:10.1109/tie.2021.3066919

Cited by 20 publications

(12 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Assumption 1. For the system (5)- (6) in which the ω dq is treated as the parameter, it is possible to reconstruct its value by using the adaptive and non-adaptive approaches and state of variables x k . Moreover, the controls (u kd , u kq ) satisfied the persistent of excitation condition [14].…”

Section: Design Procedures Of the Speed And Position Observermentioning

confidence: 99%

“…The most popular is an algorithmic method in which the observer structure is based on the mathematical model of an electrical machine. This group includes state full and reduced-order observers, [2], the adaptive full-order observer (AFO), [3], Kalman filters, [4], model reference adaptive observers MRAS, [5], sliding mode observers, [6], and backstepping, [6]. The other approach to the estimation of the state variables is to extend the model of a machine with an additional state variable-an auxiliary state, [7].…”

Section: Introductionmentioning

confidence: 99%

“…Other approach to the reconstruction of the rotor speed value is the nonadaptive method. The rotor speed value is obtained by using the suitable algebraic transformation of the estimated state variables, [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Mechanism for Speed and Position Observers of Electrical Machines

Morawiec¹

2023

New Trends in Electric Machines - Technology and Applications

Self Cite

View full text Add to dashboard Cite

In the sensorless control system, the rotor speed or position is not measured but reconstructed in the dedicated observer structure. The observer structure is based on the mathematical model of an electrical machine. This model is often determined in the space vector form by using the stator/rotor flux vector and stator/rotor current vector components. During the machine works, there exist working points in which the observer can be unstable or its accuracy is unsatisfactory. In order to increase the observer system stability, the Lyapunov theorem should be satisfied. Using this, the observer system’s proper stabilizing function can be determined. However, in many cases, this procedure is not sufficient and in close to an unstable region properties of the speed observer structure are very poor—the estimation errors have values exceeding 5%, which causes loss of synchronization in case of synchronous machines and errors in the values of electromagnetic torque or stator/rotor fluxes. In order to prevent this undesirable phenomenon, additional laws of estimation should be introduced to the speed or position estimation mechanism, which is proposed in this chapter. This mechanism is named in this chapter “robust” because during the machine works, it increases significantly the properties of the whole sensorless control system, minimizing the speed or position estimation errors almost to zero, close to the unstable region (small rotor speed with the regenerating machine mode or close to synchronous of rotor speed in case of the doubly fed generator). The proposed robust mechanism has been tested by using simulation and experimental investigations prepared for: the squirrel-cage induction machine, permanent magnet synchronous machine, and doubly fed induction generator.

show abstract

Section: Design Procedures Of the Speed And Position Observermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Mechanism for Speed and Position Observers of Electrical Machines

Morawiec¹

2023

New Trends in Electric Machines - Technology and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…For this aim, different operating conditions such as high speed (Figure 11, Figure 13, and Figure 14), medium speed (Figure 8, Figure 10, and Figure 12), and low speed (Figure 9) are considered in tests. Additionally, in many industries the drive system should be able to control the machine during light or mid load conditions such as small fan and electric vehicle applications and heavy load conditions such as electric traction and cooling pumps [37,38]. In tests, Figure 9 and Figure 13 are presented to evaluate the control system performance during light or mid load conditions, while Figure 11 is presented to evaluate the control system performance during the heavy load condition.…”

Section: Experimental Evaluationmentioning

confidence: 99%

Current Sensor FTC Method for MPTC of Three-Phase Induction Motor Drives Without Speed Measurement

et al. 2022

View full text Add to dashboard Cite

In encoderless Model Predictive Torque Control (MPTC) of three-phase Induction Motor (IM) drives, current sensors can face different electrical or mechanical faults in harsh industrial environments. In this research, single-phase current sensor Fault-Tolerant Control (FTC) method for MPTC of three-phase IM drives without speed measurement using a flux linkage observer and Model Reference Adaptive System (MRAS) algorithm is proposed. In the presented FTC method, Third-Difference (TD) operators, logic circuit module, flux linkage observer, and MRAS algorithm are utilized for fault detection, fault isolation, estimation of stator currents and fluxes, and speed estimation, respectively. In comparison with the conventional current sensor FTC methods, the proposed method can be utilized for encoderless three-phase IM drives. In order to confirm the usefulness and possibility of the proposed encoderless FTC method, experimental studies are performed for a 0.75 kW three-phase IM drive system in different situations. The achieved results demonstrate good performances of the proposed technique during both normal and faulty situations.

show abstract

“…In [ 21 ], a review of MRAS-type systems for motor drives was conducted, which provides a comprehensive overview of numerous MRAS-based systems and their stability prospects. Advanced control methods, such as the particle swarm optimization approach [ 29 ], adaptive full-order observer [ 30 ], fuzzy control method [ 31 ], genetic algorithm [ 32 ], artificial neural network (ANN) method [ 33 , 34 ], and nonlinear control method [ 35 ], can also be considered to estimate speed. The majority of modern control-based systems have demonstrated excellent accuracy in speed estimation.…”

Section: Introductionmentioning

confidence: 99%

Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics

Laadjal

Bento

Antunes

et al. 2022

Sensors

View full text Add to dashboard Cite

Multiphase machines have recently been promoted as a viable alternative to traditional three-phase machines. Most experts are looking for strategies to estimate the rotation speed of such complex systems, since speed data are required for high-performance control purposes. Traditionally, electromechanical sensors were used to detect the rotor speed of electric motors. These devices are extremely accurate, but they are also delicate and costly to deploy. New speed estimating algorithms must be created for these situations. This paper looks at how to estimate rotor speed in symmetrical six-phase induction motors (IMs) using a novel strategy for rotor speed estimation based on the Short Time Fourier Transform (STFT) method. The technique is based on tracking the frequencies of the rotor slot harmonics (RSH) seen in most squirrel-cage IM stator currents, thus assuring a broad range of applications. To monitor the RSH, the STFT employs a sliding window to perform the discrete Fourier transform technique, making it more suitable for online use with noisy and nonstationary signals. Experimental tests demonstrate the effectiveness of the suggested approach.

show abstract

Nonadaptive Rotor Speed Estimation of Induction Machine in an Adaptive Full-Order Observer

Cited by 20 publications

References 22 publications

Robust Mechanism for Speed and Position Observers of Electrical Machines

Robust Mechanism for Speed and Position Observers of Electrical Machines

Current Sensor FTC Method for MPTC of Three-Phase Induction Motor Drives Without Speed Measurement

Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics

Contact Info

Product

Resources

About