Speed Control of Induction Motor Fed from Wind Turbine Using Genetic Algorithm

Tiwari, Vineet Kumar; Prakash, Satya; Zeeshan, Abdul

doi:10.15662/ijareeie.2014.0308078

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The outline design contains three input pins, the first pin is ap_clk used to inject the clock cycle through FPGA board, and the third pin ap_start used to inject the signal, where the output signal can be controlled by the output pin ap_idle to drive the motor through CMOS driver switching. Figure (10) shows the interior view of the schematic design hardware circuitry. The selected FPGA_SoC Arty7-35t board contains huge available resources such as DSP48, FF instance, FF registers beside other components.…”

Section: Programming Fpga_soc Using Fil Techniquementioning

confidence: 99%

“…In fact, PID controller is unique for each application, and some implementations may use only one or two parameters such as PI, PD, P, I [7,8]. Control system performance is often estimated by applying a step signal to evaluate the step response characteristics in terms of dead time (td), rise time (tr), settling time (ts), and peak overshoot [9,10]. By contrast, tuning proportional gains of the controller should be appropriately tuned to obtain a desired closed-loop system performance [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A Novel HSPICS for Industrial Robotic Controller Based on FPGA_SoC: Modelling and Fabrication

Alkhafaji¹,

Hasan²

2022

IJOIR

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Tremendous studies have been proposed to optimize PI controller based Genetic Algorithm (GA) to improve the speed performance of DC motor commonly required in robotic applications. In PID controller, there are very few studies to overcome the drawbacks of classical GA, besides little pay attention to improving the speed performance of a DC motor to be measured in the microsecond unit. The main target is to maximize reduction step response characteristics, by proposing to design and fabricate a high speed proportional integral controller system (HSPICS). The primary methodology includes three sub methodologies using several new techniques and procedures to achieve three objectives. Firstly, to propose an improved genetic algorithm (IGA) to enhance the performance for better searching constraints for PI controller. Secondly, generate VHDL based Simulink model without needing expensive software. Finally, integrate the proposed controller-based on FPGA_SoC using Embedded Coder and FPGA in the loop (FIL) techniques to run the design based model. To show the effectiveness of the proposal, it was used three different DC motors. Simulation results show that the proposed controller achieves much higher reduction step response ratios (RSRR) compared with classical GA and PSO, further shortened step response characteristics to be measured in the microsecond unit. Analyzing the performance demonstrates that the RSRR has been enhanced for motors 1, 2, and 3 by 8, 9, and 35 times over classical GA, and 3, 3, and 10 over PSO, respectively. The comparison response time results between simulation and experimental for the studied motors show that the steady state time ratios (SST) were minimized significantly.

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Section: Programming Fpga_soc Using Fil Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel HSPICS for Industrial Robotic Controller Based on FPGA_SoC: Modelling and Fabrication

Alkhafaji¹,

Hasan²

2022

IJOIR

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“…Global optimization techniques have caught the attention in the field of controller parameter optimization [8]. Genetic algorithm (GA) is illustrated in [9][10][11][12][13] for speed control of IM despite the fact that this optimization technique requires a very long run time that may be several minutes or even several hours depending on the size of the system under study. Simulated annealing (SA) is introduced in [14] for optimal tuning of speed controllers, but this technique might fail by getting trapped in one of the local optimal.…”

Section: Introductionmentioning

confidence: 99%

ICA-based speed control of induction motor fed by wind turbine

Ali

2015

Neural Comput & Applic

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This paper proposes the speed control of induction motor fed by wind turbine using Imperialist Competitive Algorithm (ICA). The wind turbine plays as a prime mover to a connected DC generator. Pulse-width modulation is used to get three-phase AC voltage from the output of DC generator. The proposed design problem of speed controller is established as an optimization problem. ICA is adopted to search for optimal controller parameters by minimizing the time domain objective function. The behavior of the proposed ICA has been estimated with the behavior of the conventional Ziegler-Nichols and genetic algorithm in order to prove the superiority of the proposed ICA in tuning PI controller. Also, the behavior of the proposed controller has been tested over a wide range of operating conditions. Simulation results confirm on the better behavior of the optimized PI controller based on ICA compared with other algorithms. AbbreviationsIM Induction motor DC Direct current AC Alternating current FLC Fuzzy logic controller ANN Artificial neural network SA Simulated annealing GA Genetic algorithm ABC Artificial bee colony ACO Ant colony algorithm PSO Particle swarm optimization BF Bacteria foraging ICA Imperialist Competitive Algorithm ZN Ziegler-Nichols PWM Pulse-width modulation PI Proportional plus integral IAE The integral of absolute value of the error ITAE The integral of the time-multiplied absolute value of the error ISE The integral of square error ITSE The integral of time-multiplied square errorList of symbols R s ; L ls Stator resistance and leakage inductance R 0 r ; L 0 lr Rotor resistance and leakage inductance L m Magnetizing inductance L S ; L 0 r Total stator and rotor inductances V qs ; i qs q axis stator voltage and current V 0 qr ; I 0 qr q axis rotor voltage and current V ds ; i ds d axis stator voltage and current V 0 dr ; I 0 dr d axis rotor voltage and current u qs ; u ds Stator q and d axis fluxes u 0 qr ; u 0 dr Rotor q and d axis fluxes x m Angular velocity of the rotor h m Rotor angular position P Number of pole pairs x r Electrical angular velocity (x m Á P) h r Electrical rotor angular position (h m Á P) T e Electromagnetic torque T L Shaft mechanical torque J c B Combined rotor and load viscous friction coefficient RThe wind turbine rotor radius V xThe wind speed x tThe mechanical angular rotor speed of the wind turbine P t Wind power (hp) ƿAir density (kg/m 3 )The area of turbine blades (m 2 )The armature generator current and terminal voltage i f , V fThe field generator current and voltage R a ; L aThe armature resistance and inductance R f ; L fThe field resistance and inductance R L ; L L The load resistance and inductance R t R a + R L L t L a + L L

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

et al. 2022

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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.

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Speed Control of Induction Motor Fed from Wind Turbine Using Genetic Algorithm

Cited by 3 publications

References 5 publications

A Novel HSPICS for Industrial Robotic Controller Based on FPGA_SoC: Modelling and Fabrication

A Novel HSPICS for Industrial Robotic Controller Based on FPGA_SoC: Modelling and Fabrication

ICA-based speed control of induction motor fed by wind turbine

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

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