Three-Phase Induction Motor Stator Current Optimization (original) (raw)
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Efficiency Optimisation of 3-phase Induction Motor Drive Using 'Optimal Controller'
sathya, 2015
This project explains mathematical-based scheme for Induction motor drive system leading to efficiency optimization using with torque of the motor to generate the appropriate voltage amplitude. A constant v/f efficiency controller model can be developed with LOSS MODEL technique. In this optimal controller CURVE FITTING model is used.
— Optimization techniques are very well-known to improve the performance of Three-phase induction motor (TIM). Inverter and SVPWM method can be used for setting voltage and frequency appropriating with loads requirements. This study deals with the tuning of PID controller parameters to be used TIM. Genetic algorithm is used to tune each parameters of PID speed controller to improve the speed response performance of the TIM. PID-GA aims to minimize the error signal speed of TIM, reduce overshoot, and tune parameters of PID controller. The error signal speed of TIM has objective function from integrated error signal (ISE). Parameters of PID controller from optimization is used to the model of the closed-loop speed control of three-phase induction motor using PID. PID-GA has the best speed response. On the model of the closed-loop speed control of three-phase induction motor using PID, various load torque can result in decreasing flux stator and rotor, increasing current stator and rotor, and decreasing speed of the induction motor.
Design and Optimization of Three Phase Induction Motor using Genetic Algorithm
World Academy of Research in Science and Engineering
With the increase of modernized equipments in our day-to-day life, demand for energy also increases, therefore to solve this energy crisis many new efforts have been made by exploiting renewable sources for obtaining energy or by improving the operating efficiency of devices requiring bulk consumption of electric energy. The design of induction motor using simplified method of Genetic algorithm is carried out with the objective of maximizing efficiency.
ENERGY EFFICIENT CONTROL OF THREE-PHASE INDUCTION MOTOR
This paper presents a review of the developments in the field of efficiency optimization of three-phase induction motor through optimal control and design techniques. Optimal control covers both the broad approaches namely, loss model control (LMC) and search control (SC). Optimal design covers the design modifications of materials and construction in order to optimize efficiency of the motor. The use of Artificial Intelligence (AI) techniques such as artificial neural network (ANN), fuzzy logic, expert systems and nature inspired algorithms (NIA), Genetic algorithm and differential evolution in optimization are also included in this paper.
Energy Efficient Control of Three-Phase Induction Motor - A Review
Due to robustness, reliability, low price and maintenance free, induction motors (IMs) used in most of the industrial applications. The influence of these motors (in terms of energy consumption) in energy intensive industries is significant in total input cost. This paper presents a review of the developments in the field of efficiency optimization of three-phase induction motor through optimal control and design techniques. Optimal control covers both the broad approaches namely, loss model control (LMC) and search control (SC). Optimal design covers the design modifications of materials and construction in order to optimize efficiency of the motor. The use of Artificial Intelligence (AI) techniques such as artificial neural network (ANN), fuzzy logic, expert systems and nature inspired algorithms (NIA), Genetic algorithm and differential evolution in optimization are also included in this paper. Experimental and simulation examples on efficiency optimization are illustrated.
2017
Induction motor is considered as one of the most motors that has many uses in the industrial applications in which requires rapid response and high accuracy of control for wide ranges of speed. In this paper, Field Oriented Control (FOC) method was utilized to achieve high performance of control by separating stator current into two components to control the torque and field, along with Space Vector Pulse Width Modulation (SVPWM) technique to reduce the harmonic of the output signal from the inverter and the best use of the DC voltage. The aim of this paper is to enhance the speed response during incurring of the motor for a sudden change of load torque or reference speed. The PSO technique was used to find the best parameters of the control unit in both the voltage and current controllers of the FOC system in order to improve the motor speed response using two objective functions of MAE and ME. The simulation results of PSO-PI controllers demonstrate the superiority over the trial ...
Optimum Induction Motor Speed Control Technique Using Genetic Algorithm
Industrial processes are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable. In order to overco me this problem of parameter variat ion the PI controllers are widely used in industrial plants because it is simple and robust. However there is a prob lem in tuning PI parameters. So the control engineers are on look for automatic tuning procedures. In recent years, many intelligence algorith ms are proposed to tuning the PI parameters. Tuning PI parameters using different optimal algorith ms such as the simulated annealing, genetic algorith m, and particle swarm optimizat ion algorithm. In this paper a scheduling PI tuning parameters using genetic algorith m strategy for an induction motor speed control is proposed. The results of our work have showed a very low transient response and a non-oscillating steady state response with excellent stabilization. The simulat ion results presented in this paper show the effectiveness of the proposed method, with satisfied response for GA-PI controller.
Advances in Systems, Control and Automation
In this paper, an optimal design of induction motor using genetic algorithm is discussed and the results obtained are compared with a conventionally designed induction motor. Graphical user interface (GUI)-based user simplified interface is prepared in MATLAB to achieve an optimal design of different power-rated three-phase squirrel cage induction motors. Full-load efficiency and active material cost are chosen as an objective function to be optimized, and based on that, the concept of dual optimization is explained. To achieve the best suitable design, different variables are chosen and different constraints are imposed on the design of induction motor.
Optimization of 20kVA, 3-Phase Induction Motor using Genetic Algorithm
This work optimizes the copper and iron losses in a 20kVA, 4 Pole, 3-phase, 50Hz squirrel cage inductor motor using genetic algorithm. Losses optimization selects the optimal values of the design variables which gives the least losses. Ten design variables were used in optimization process. The optimization was implemented using MATLAB software. The result shows that using the analytical method (without optimization), the losses was 710 W. But with the use of genetic algorithm to optimize the design, the losses were reduced to 642W. A comparison of these two methods shows a 9.6% decrease in losses with the use of optimization, resulting into an increase in efficiency.
This paper presents a comparison between two famous control strategies for induction motors: Field Oriented Control (FOC) and Direct Torque Control (DTC). These two strategies are Vector Control (VC) methods and provide a solution for high-performance drives. These strategies are implemented using an induction motor with ratings of 300W, 380V and 50Hz. The motor parameters are estimated using laboratory tests. From simulation results the advantages and disadvantages of both methods are investigated to illustrate the features of both methods. The performances of the two control schemes are evaluated in terms of torque, current ripples and transient responses to load toque variations. The Space Vector Pulse Width Modulation (SVPWM) technique is proposed as a voltage source inverter. Also the Proportional Integral (PI) controller tuned by Particle Swarm Optimization (PSO) is proposed for both techniques. A MATLAB/SIMULINK program is prepared for simulating the overall drive systems.