A fuzzy set theory based control of a phase-controlled converter DC machine drive

Sousa, G.C.D.; Bose, B.K.

doi:10.1109/ias.1991.178338

Cited by 135 publications

(22 citation statements)

References 18 publications

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“…Therefore, at any given point of the universe of discourse, no more than two fuzzy subsets will have nonzero degrees of membership. The choice of fuzzy partitioning along with the SUP-MIN composition method results in simplification of the fuzzy control algorithm [25].…”

Section: Application Of Fuzzy Logic Controlmentioning

confidence: 99%

A Fuzzy Flux Control to Reduce Harmonics in the Utility Interface of Fuel Cell Power Systems

Valverde¹,

Almonacid²

2005

Electric Power Components and Systems

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The deregulation and unbundling of electricity markets in many countries worldwide brings new perspectives for fuel cells. This article presents a new flux modulation approach for the closed-loop control of the output voltage of inverters for fuel cells, using the flux vector control method. Criteria for designing a fuzzy controller are established, and a comparison with the conventional flux control method is shown. The proposed control scheme can achieve fast transient responses and, at the same time, have low total harmonic distortion in output current during steady-state operation.The performance of the new modulator has been verified in simulation.

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Section: Application Of Fuzzy Logic Controlmentioning

confidence: 99%

A Fuzzy Flux Control to Reduce Harmonics in the Utility Interface of Fuel Cell Power Systems

Valverde¹,

Almonacid²

2005

Electric Power Components and Systems

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“…Recent literature has paid much attention to the potential of fuzzy control in machine drive applications [4,5]. However the control rules are normally extracted from practical experience, which may make the result rather subjective and fully relies on the qualitative knowledge of process behavior.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Logic Approach for Speed Controller Design of A.C. Voltage Controller Fed Induction Motor Drive

Sundaram

Rajasekar²,

Edward

et al. 2009

2009 Fifth International Conference on MEMS NANO, and Smart Systems

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Induction motors constitute a theoretically challenging control problem due to non-linearity of the dynamical system, motor parameter variation and the difficulty in measuring rotor variables. Incorporation of thyristorised a.c. voltage controller for speed control of the induction motor aggravates the non-linearity of the system. The use of conventional PI controller will not guarantee optimum dynamic response at different operating points of the drive. This paper presents the design and simulation of a fuzzy logic controller for speed regulation of voltage controlled induction motor drive. The fuzzy algorithms in the proposed controller are systematically obtained from the intuition and experience about the motor drive dynamics. A linearized incremental model of a.c. voltage controller fed induction motor drive is derived from the fifth order d-q axis model and is used for simulation study. The nullifying effect of parameter variation and disturbance rejection property of fuzzy logic controller is evidenced through simulation results.

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“…Usually the mathematical model is quite complex or not easy to be determined [1]. Furthermore, the conventional controls are only effective at a certain operating point.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the intelligent control that is based on artificial intelligent can emulate the human thinking process. In the knowledge of expert that is expressed in rule, fuzzy logic present a slightly superior dynamic performance when compare with a more conventional scheme [2][3][4] and that the controller design does not require explicit knowledge of motor/load dynamic [1]. The performance of PI-fuzzy for linear and non-linear process can be improved by introducing the self-tuning (STPIFLC) [5].…”

Section: Introductionmentioning

confidence: 99%

A PLC-based self-tuning PI-fuzzy controller for linear and non-linear drives control

Arrofiq

Saad

2008

2008 IEEE 2nd International Power and Energy Conference

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This paper presents the design, implementation and analysis of a PLC-based self-tuning PI-fuzzy controller for linear and non-linear drives control. The controller consists of two fuzzy logic blocks, main and gain tuning, respectively. The main fuzzy block acts as a speed controller, while the gain tuning block scales the output of main fuzzy. The output gain tuning has the same inputs as main fuzzy (i.e. speed error and change of error). By introducing output gain tuning, overshoot and settling time can be restrained. The objective of the controller is to provide stability, to reduce overshoot in responds to disturbance and sudden change in reference speed. The performance is compared to PI-fuzzy controller through simulation and experiment. Results of the proposed system show satisfactory performance.

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A fuzzy set theory based control of a phase-controlled converter DC machine drive

Cited by 135 publications

References 18 publications

A Fuzzy Flux Control to Reduce Harmonics in the Utility Interface of Fuel Cell Power Systems

A Fuzzy Flux Control to Reduce Harmonics in the Utility Interface of Fuel Cell Power Systems

A Fuzzy Logic Approach for Speed Controller Design of A.C. Voltage Controller Fed Induction Motor Drive

A PLC-based self-tuning PI-fuzzy controller for linear and non-linear drives control

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