Power Factor Improvement using Fuzzy Logic Control of an AC Synchronous Motor

Grey, A.D.

doi:10.1109/secon.2005.1423244

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…Like the ubiquitous PID controller, FLC on the other hand is now the fastest growing soft computing tool in the industry [19]. FLCs are rule-based systems that use fuzzy linguistic variables to model human ruleof-thumb approaches to problem solving, and thus overcome the limitation that classical expert systems may meet because of their inflexible representation of human decision making.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

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Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part Ii: Control of FES Induced Movement

Huq

Tokhi

2012

Applied Bionics and Biomechanics

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Abstract. Spring brake orthotic swing phase for paraplegic gait is initiated through releasing the brake on the knee mounted with a torsion spring. The stored potential energy in the spring, gained from the previous swing phase, is solely responsible for swing phase knee flexion. Hence the later part of the SBO operation, functional electrical stimulation (FES) assisted extension movement of the knee has to serve an additional purpose of restoring the spring potential energy on the fly. While control of FES induced movement as such is often a challenging task, a torsion spring, being antagonistically paired up with the muscle actuator, as in spring brake orthosis (SBO), only adds to the challenge. Two new schemes are proposed for the control of FES induced knee extension movement in SBO assisted swing phase. Even though the control schemes are closed-loop in nature, special attention is paid to accommodate the natural dynamics of the mechanical combination being controlled (the leg segment) as a major role playing feature. The schemes are thus found to be immune from some drawbacks associated with both closed-loop tracking as well as open-loop control of FES induced movement. A leg model including the FES knee joint model of the knee extensor muscle vasti along with the passive properties is used in the simulation. The optimized parameters for the SBO spring are obtained from the earlier part of this work. Genetic algorithm (GA) and multi-objective GA (MOGA) are used to optimize the parameters associated with the control schemes with minimum fatigue as one of the control objectives. The control schemes are evaluated in terms of three criteria based on their ability to cope with muscle fatigue.

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Section: Fuzzy Logic Controlmentioning

confidence: 99%

“…[18][19][20]. Figure 20 is the final part of the knee joint trajectory obtained using the same controllers, but with FES torque dropped down to 80% of its normal value.…”

Section: Fatigue Resistance Of the Controllersmentioning

confidence: 99%

Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part Ii: Control of FES Induced Movement

Huq

Tokhi

2012

Applied Bionics and Biomechanics

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“…Such controllers are called adaptive PID controllers in order to differentiate them from those of the first category. The application of knowledge-based systems in process control is growing, especially in the field of fuzzy control [9][10][11][12][13][14][15][16], in fuzzy control, linguistic descriptions of human expertise in controlling a process are represented as fuzzy rules or relations.…”

Section: Introductionmentioning

confidence: 99%

“…i Kd' is obtained in the same way. Once Kp', Kd' and are obtained, the PID controller parameters are calculated from equations(14)(15)(16)(17)(18)(19)(20), where Kpmin, Kpmax, Kdmin, and Kdmax are given in Appendix (C).…”

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confidence: 99%

Reactive Power Compensation using Fuzzy Gain Scheduling (FGS) based PID Controller of Synchronous Machine

Alsammak¹,

Al-Kababji²

2009

(AREJ)

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Application of Fuzzy Logic (FL) theory to self-tuning PID controller for the reactive power compensation using Synchronous Machine (SM) is investigated in this paper. The measured Power Factor (PF) is adjusted to a required value using FGS based PID controller. If the measured PF is different from the required reference value an error signal is generated. This error signal and change of error are evaluated by FLC to obtain the new constants values for the PID controller that used to drive six-pulse full wave thyristorized rectifier circuit, which can thus control the excitation field voltage. A VAR compensation for the weak bus, with a desired PF, has been applied on the modified IEEE-5 bus sample systems using bifurcation analysis and Q-V sensitivity methods as voltage stability indicator. In this paper, a suitable model of the SM has been presented. Loading and no load conditions in addition to excitation field voltage have been tested. A good agreement between practical and theoretical results has been observed. Simulation results demonstrate that better control performance can be achieved in comparison with Ziegler-Nichols controllers and Kitamori's PID controllers. It has been found that the proposed controller (FGS based PID) provides fast response, flexible, nonlinear gain characteristic and adaptive operation. It is concluded that the reactive power compensation system with a FGS based PID controller of SM is reliable, sensitive, economical, faster, and more efficient with no harmonics.

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Reactive power compensation control for stand-alone synchronous generator-based wind energy conversion system

Mohamed

Elshaer

Mohammed

2010

IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society

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Power Factor Improvement using Fuzzy Logic Control of an AC Synchronous Motor

Cited by 6 publications

References 3 publications

Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part Ii: Control of FES Induced Movement

Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part Ii: Control of FES Induced Movement

Reactive Power Compensation using Fuzzy Gain Scheduling (FGS) based PID Controller of Synchronous Machine

Reactive power compensation control for stand-alone synchronous generator-based wind energy conversion system

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