Fuzzy Logic Versus PI Speed Control in High-Performance AC Drives: A Comparison

Ibrahim, Rania A.; Lévi,

doi:10.1080/15325000390112279

Cited by 8 publications

(3 citation statements)

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“…Munda and Miyagi [14] show a fuzzy logic control in the terminal capacitor and the wind turbine blade pitch angle. Finally, Ibrahim and Levi [15] attempt to provide a comparison of the operation of a vector-controlled permanent magnet synchronous motor using fuzzy logic versus PI speed control.…”

Section: F Jurado Et Almentioning

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: F Jurado Et Almentioning

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 constraints of indirect FOC of IM are given by P2q=0.0;~2dConstant (10) Using the constraint, the d-axis rotor current becomes zero and the following equations are obtained at steady state condition. 2d = Lmjmd (11) Te=Pn(Lm/L2)imqP2d (12) ws=(R2Lm/L2)(imq/~2d)…”

Section: Indirect Field-oriented Controlmentioning

confidence: 99%

Fuzzy-Logic-Based Self-Tuning PI Controller for Speed Control of Indirect Field-Oriented Induction Motor Drive

Murata

Tamura

Tsuchiya

2005

T. SICE

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In this paper, a new self-tuning proportional and integral (PI) controller based on fuzzy logic is proposed to improve the performance of conventional PI speed control of induction motor (IM) taking core loss into account. A new parameterization technique to tune the proportional and integral gains of PI controller is adopted by using a single parameter (h) from the knowledge of pole placement technique. To tune the parameter h depending on the operating points, a simple fuzzy logic system is designed where only one input, one output variables, three membership functions for each input-output variable, and three fuzzy rules are used. Since the poles of PI speed controller are placed in negative real values by using the proposed parameterization technique, the speed controller always works in stable region. Moreover, the overshoot and steady state error problems are also overcome by changing of h based on the proposed fuzzy system under the variations of load torque and parameters. The performance of proposed fuzzy-logic-based self-tuning PI controller has been demonstrated through the simulations. The simulation results confirm that the excellent desired speed is achieved against the variations of load torque and parameters without any overshoot and steady state error by using the proposed system.

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“…Study reported by [1] performs detailed speed performance comparison of FL and PI controllers to a vector controlled permanent magnet synchronous motor (PMSM) drive throughout simulations and experimentations. This publication concludes that FL determines good performance compared to PI controller under varying operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of simplified and standard fuzzy logic controller in vector controlled PMSM drive

Isa

Ibrahim

Lazi

2011

2011 IEEE Symposium on Industrial Electronics and Applications

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This paper presents a comparative analysis of simplified fuzzy logic controller (FLC) for speed performance in vector-controlled permanent magnet synchronous motor (PMSM) drive. The control strategy focuses on fuzzy rule base which are contribute to some level of output in obtaining the desired performance. The objective of this research is minimizing the number of rule base used by the PMSM drive besides perform desired output. Two FLCs with reduced rule base (9rules and 7-rules) are designed and the performance results are compared and evaluated with the standard FLC (49-rules). The simplification of rule base is determined by eliminating some of rule bases that are infrequently fired by the PMSM drive. The standard FLC consists of 49-rules which are determined based on common criteria from many literatures. Two simplified FLCs consist of 9-rules and 7-rules are obtained by knowledge and experience. The simulation results show both simplified FLCs obtain nearly equivalent performance with the standard FLC. The performance of all FLCs over load disturbance and parameter variations are compared and analyzed to investigate the performance of simplified FLCs. Keywords-Comparative analysis, simplified fuzzy logic control; simplify rule base; vector control permanent magnet synchronous motorI.

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Fuzzy Logic Versus PI Speed Control in High-Performance AC Drives: A Comparison

Cited by 8 publications

References 0 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

Fuzzy-Logic-Based Self-Tuning PI Controller for Speed Control of Indirect Field-Oriented Induction Motor Drive

Comparative analysis of simplified and standard fuzzy logic controller in vector controlled PMSM drive

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