Fuzzy optimization for rotor constant identification of an indirect FOC induction motor drive

Bim, Edson

doi:10.1109/41.969416

Cited by 40 publications

(18 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, (9) can not be realized since it contains ψ rα , ψ rβ which can not be obtained directly. For convenience, certain transformations can be made for (9). Assume is the synchronous speed when the motor speed and the load are constant.…”

Section: Rotor Resistance Estimator Designmentioning

confidence: 95%

“…Toliyat et al [7] presented a simple on-line rotor time constant identification scheme, which needs no special test signal and complex computations. Fuzzy logic technique is also used to estimate the rotor resistance in Zidani et al [8] and Bim [9]. In Yu et al [10], a model reference adaptive control scheme, integrated with the intermediate current control loop, is used to track the variation of the rotor resistance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rotor resistance estimator design for indirect field-oriented induction motors

Zhao

2006

Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer

View full text Add to dashboard Cite

Exact information of the rotor resistance is the key to realize high-performance indirect field-oriented control of the induction motors. However, rotor resistance is time-varying when the motor works. Therefore, a new estimator of the rotor resistance is designed for the indirect field-oriented induction motors to attenuate the effect of the rotor resistance uncertainty. This estimator is derived from the steady-state procedure of the rotor flux using Lyapunov stability theory. Furthermore, this estimator is shown to be able to minimize the steady-state error the rotor flux and improve the control performance of the induction motor drive effectively. Compared with the previous studies, this estimator has a simple form and is easy to implement. Simulation results of a certain IFOC induction motor indicate that the estimator presented above is feasible.

show abstract

Section: Rotor Resistance Estimator Designmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Rotor resistance estimator design for indirect field-oriented induction motors

Zhao

2006

Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer

View full text Add to dashboard Cite

show abstract

“…Therefore major efforts were put in for online estimation of rotor resistance. Several online parameter estimation techniques are reported in the literature, having some pros and cons as listed in Table- It is important to note here that [25][26][27] reviewed Model reference adaptive system based estimation schemes where the adaptation mechanism makes of proportional integral (PI) or fuzzy controller for the generation of the change in rotor resistance ∆ .The PI controller does not give satisfactory performance for operating conditions where frequent variation in motor speed and load torque is required. Fuzzy logic controller when compared with PI controller do not require precise mathematical model , can handle nonlinearity and are more robust, but the drawback is that the success of the controller depends on the knowledge and skill in designing an efficient inference engine.…”

Section: Introductionmentioning

confidence: 99%

Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO t uned Fuzzy Controller

Chacko¹,

Bhende²,

Jain³

et al. 2016

ijeei

View full text Add to dashboard Cite

Induction motor with indirect field oriented control is preferred for high performance applications due to its excellent dynamic behavior. However, it is sensitive to variations in rotor time constant, especially variation in rotor resistance which needs to be estimated online. Conventionally the model reference adaptive system with fuzzy logic controllers as adaptation is used, which works satisfactorily for one particular operating condition and fails under variable operating condition. Therefore the need arises for a fuzzy controller whose parameters are tuned using evolutionary algorithm. In this paper, the input/output gain and the membership function parameters of the fuzzy system are optimized using genetic algorithm and particle swarm optimization to obtain an optimal designed fuzzy controller for rotor resistance estimation. The system is investigated in MATLAB/Simulink environment. Results shows that the steady state error in estimation of rotor resistance by the proposed controller under stringent operating condition is better with the proposed controller as compared to the conventional trial and error based fuzzy controller.

show abstract

“…Fuzzy logic controllers over the years have gained popularity in various applications and have been introduced in the control of drives. Fuzzy logic controllers [15,16] as compared to PI controller do not require precise mathematical model; can handle nonlinearity and are more robust, but the drawback is that the success of the controller depends on the knowledge and skill of the expert due to lack of a well defined approach .…”

Section: Iintroductionmentioning

confidence: 99%

A novel on line rotor resistance estimation technique using EA tuned fuzzy controller for vector controlled induction motor drive

Chacko

Bhende

Jain

et al. 2015

2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT)

View full text Add to dashboard Cite

Induction motor with indirect field oriented control is well suited for high performance applications due to its excellent dynamic behavior. But, the indirect field oriented controller is sensitive to variations in rotor time constant, especially variation in rotor resistance. In this paper a scheme based on the Rotor flux Model Reference Adaptive Controller is used for on line identification of the rotor resistance and thus improving the steady state performance of the drive. The estimation of the actual rotor flux depends on the motor stator resistance, however its compensation is easier and the overriding feature of this estimation technique is the accurate identification of rotor resistance both during transient and steady state conditions when the drive is operating at full load and at zero motor speed condition. The effectiveness of the optimal designed Mamdani fuzzy controller based rotor identification scheme for four quadrant operation of motor drive is investigated and compared with the conventional trial and error based fuzzy controller in MA TLAB/Simulink environment.

show abstract

Fuzzy optimization for rotor constant identification of an indirect FOC induction motor drive

Cited by 40 publications

References 8 publications

Rotor resistance estimator design for indirect field-oriented induction motors

Rotor resistance estimator design for indirect field-oriented induction motors

Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO t uned Fuzzy Controller

A novel on line rotor resistance estimation technique using EA tuned fuzzy controller for vector controlled induction motor drive

Contact Info

Product

Resources

About