Fuzzy Frequency Control Research Articles

Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers

This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique by means of an eZdspF28335 digital signal processing (DSP) experiment board. Two features of field-oriented control (FOC) were used to design the GA-HFFC, namely, the current and frequency. To overcome the limitations of the FOC technique, the principles of the GA-HFFC were introduced through the acceleration-deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller, while a fuzzy stator current amplitude controller was involved during the steady-state stage. The results revealed that the proposed control approach could deliver a practical control solution in the presence of diverse operating conditions.

Optimized Type-2 Fuzzy Frequency Control for Multi-Area Power Systems

The objective of this study is minimizing the frequency deviation due to the load variations and fluctuations of renewable energy resources. In this paper, a new type-2 fuzzy control (T2FLC) approach is presented for load frequency control (LFC) in power systems with multi-areas, demand response (DR), battery energy storage system (BESS), and wind farms. BESS is used to reduce the frequency deviations caused by wind energy, and DR is utilized to increase network stability due to fast load changes. The suggested T2FLC is online tuned based on the extended Kalman filter to improve the LFC accuracy in coordination of DR, BESS, and wind farms. The system dynamics are unknown, and the system Jacobian is extracted by online modeling with a simple multilayer perceptron neural network (MLP-NN). The designed LFC is evaluated through simulating on 10-machine New England 39-bus test system (NETS-39b) in four scenarios. Simulation results verifies the desired performance, indicating its superiority compared to a classical PI controllers, and type-1 fuzzy logic controllers (FLCs). The mean of improvement percentage is about 20%.

An experimental demonstration of hybrid fuzzy-fuzzy space-vector control on AC variable speed drives

This work presents the experimental demonstration of a hybrid fuzzy-fuzzy controller speed control of a squirrel-cage induction motor variable speed drive based on the space-vector pulse width modulation technique by means of digital signal processing. In particular, two features of field-oriented control were engaged to design a hybrid fuzzy-fuzzy controller, namely the current and frequency. In order to overcome the limitations of the field-oriented control technique, the principle of the hybrid fuzzy-fuzzy controller is introduced in the course of the acceleration–deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller. Conversely, a fuzzy stator current magnitude controller was involved during the steady-state. The results revealed that the control approach has the ability to deliver a practical control solution in the presence of diverse operating conditions.

The Impacts of the Disturbances for the Hybrid Fuzzy-Fuzzy Controller Applied to Induction Motor Drive

The study of the effects of an internally and externally caused disturbances for the advanced hybrid fuzzy-fuzzy controller (HFFC) scheme in order to gain control over the speed of an induction motor’s (IM) variable speed drive (VSD) is the main objective of this research paper The HFFC works on the principle of gaining control over the rotor speed during steady-state stage using fuzzy stator current magnitude controller whereas, during an accelerate-decelerate stage by utilising a fuzzy frequency controller, to overcome the disadvantage of field oriented control (FOC) method. The design of a scalar controller involves two aspects of FOC i.e current and frequency. Hence, the performance of a controller has been observed with a series of tests which yielded a controller which is more effective, consistent and insensitive to the parameter variation for the motor and system strength to noise and load disturbances.

Efficiency Improvement of Induction Motor Variable Speed Drive Using a Hybrid Fuzzy-fuzzy Controller

Abstract Induction motor (IM) variable speed drive efficiency is essential for a few reasons as energy conservation, economic saving and lessening of ecological contamination. This research represents a study of the efficiency improvement for the developed hybrid fuzzy-fuzzy controller (HFFC) scheme to gain control over the speed of an induction motor's variable speed drive (VSD). In order to overcome drawback of field oriented control (FOC) method, the principle of HFFC is based on set of rules to control speed of a rotor by utilizing fuzzy frequency controller during the accelerate-decelerate stage. Alternatively, a fuzzy stator current magnitude controller is used during steady-state stage. The two aspects (current and frequency) of FOC are engaged to design a scalar controller. The performance of the controller is observed by conducting a series of tests, and it can be concluded that the controller is efficient, reliable and insensitive towards the parameter variation in the system and motor robustness to load and noise disturbances.

Robust Stabilizing Controllers to Automatic Generation Control for Load Frequency Control Application

Since superconducting magnetic energy storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive powers simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. This study presents the effects of novel control strategies of self-tuned fuzzy proportional integral (FPI) controller and fuzzy frequency (FF) controller associated with the automatic generation control (AGC) including SMES unit. The effects of the self-tuning configuration with FPI controller in AGC is also compared with that of FF controlled AGC on SMES control. The simulation results show that both self tuning control schemes of AGC are very effective in damping out of the oscillations caused by load disturbances and it is also seen that the FF controlled AGC with SMES perform better primary frequency control compared to FPI controlled AGC with SMES. Keywords: Load frequency control; Single area power system; FPI controller; FF controller; SMES unit. © 2010 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. DOI: 10.3329/jsr.v2i2.3063 J. Sci. Res. 2 (2), 285-293 (2010)