Efficiency Optimisation of 3-phase Induction Motor Drive Using 'Optimal Controller' (original) (raw)
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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.
Efficiency Optimization of Induction Motor Drive
Induction motors are extensively used in industrial and household appliances and consume more than 50% of the total generated electrical energy. The need for energy conservation is increasing the requirements for saving the electrical energy. It is therefore important to optimize the efficiency of electrical drive systems under light load condition. This paper proposes a control scheme based on search method taking advantage of the fact, that at a certain torque and speed (operating point) there is only one set of voltage & frequency that operates the motor at optimum efficiency. Utilizing equivalent loss model of induction motor, expressions of V opt , F opt are derived mathematically. Both simulation & experiment results indicates the efficiency performance with VVVF is superior to that of V/F operation in steady state and light load conditions. Future work is also suggested that if incase any frequent transients comes in load side, the optimization schemes can be abandoned & V/F operation should be implemented till the steady state comes.
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.
Efficiency Optimized Control of High Performance Induction Motor Drive
2009
Algorithms for efficiency optimized control of induction motor drives are presented in this paper. As a result, power and energy losses are reduced, especially when load torque is significant less compared to its rated value. According to the literture, there are three strategies for dealing with the problem of efficiency optimization of the induction motor drive: Simple State Control, Loss Model Control and Search Control. Basic characteristics each of these algorithms and their implementation in induction motor drives are described. Moreover, induction motor drive is often used in a high performance applications. Vector Control or Direct Torque Control are the most commonly used control techniques in these applications. These control methods enable software implementation of different algorithms for efficiency improvement. Simulation and experimental tests for some algorithms are performed and results are presented.
Optimal Efficiency Controller of AC Drive System
International Journal of Computer Applications, 2013
This paper has presented a mathematical-based scheme for induction motor drive system leading to efficiency optimization. The proposed scheme uses information on torque of the squirrel cage motor to generate the appropriate voltage amplitude that maximizes the motor efficiency. A constantV/f efficiency controller model has been configured and built depending on a set of experimental data, based on the motor equivalent circuit, using Matlab computer program. The model was validated by simulation using a typical induction motor drive model implemented with Matlab/Simulink. The aim of this paper is the drive system performance improvement by designing optimal efficiency controller; this will supply stator of the motor with proper voltage and frequency under different loading conditions using appropriate algorithm.
Efficiency Optimization of Induction Motor Drives
2013
The paper describes the most commonly used method for efficiency optimization of induction motor drives (IMD). Simple state control, Model based and Search control. They have been analyzed and pointed out good sides and drawbacks of every method. An algorithm for efficiency optimization of IMD that work in periodic closed cycle operation cycles and known operating conditions is also presented. The used algorithm is based on the technique of dynamic programming. This model is implemented in vector control induction motor drive. Simulations and experimental test are performed. Results are presented in the paper.
New hybrid model for efficiency optimization of induction motor drives
2010
New hybrid model for efficiency optimization of induction motor drives is presented in this paper. It combines two strategies for efficiency optimization: Loss model control and Search control. Search control technique is used in a steady state of drive and loss model during transient processes. As a result, power and energy losses are reduced, especially when load torque is significant less related to its rated value. Also, this hybrid method gives fast convergence to operating point of minimal power losses and shows negligible sensitivity to motor parameter changes regarding other published optimization strategies. This model is implemented in vector control induction motor drive and some simulations are performed. Results are presented in this paper.
Advances in Power Electronics, 2013
New hybrid model for efficiency optimization of induction motor drives (IMD) is presented in this paper. It combines two strategies for efficiency optimization: loss model control and search control. Search control technique is used in a steady state of drive and loss model during transient processes. As a result, power and energy losses are reduced, especially when load torque is significant less related to its rated value. Also, this hybrid method gives fast convergence to operating point of minimal power losses and shows negligible sensitivity to motor parameter changes regarding other published optimization strategies. This model is implemented in vector control induction motor drive. Simulations and experimental tests are performed. Results are presented in this paper.
Efficiency and Performance Optimization of Induction Motor Drive
Induction Motor(IM) are known for its power/mass ratio, its efficiency, low cost and maintenance free performance during its life cycle therefore known as workhorses of industries. But huge amount of energy is wasted by IM due to their poor efficiency, also the operating cost is high. Therefore a small increment in efficiency may lead to contribute huge significant effect on the entire energy saving. The main key features in which estimation and reproduction of optimal flux component of current (Ids) depends, are loss model control (LMC) and search control (SC). To drive loss-minimization expression, core saturation is considered with d-q loss model of IM. Ids value expression for various load profiles, this loss expression is used to derive optimal Ids expression and tabulation is done. According to the table, a model is designed. The optimal Ids* value can be calculated, which depends upon run-time profile, followed by feed-forward manner and thus eliminates complex computation of run time loss model. Comparison is done between proposed operation that is optimal Ids and constant Ids obtained by conventional method. Increment of 1-12% efficiency is observed.
Induction motor drive design based on efficiency optimization and drive loss minimization
2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2017
Induction motor drives are commonly used for applications with vast variations in mechanical load for torques under nominal values. HVAC loads are among these loads. The most ideal scheme for induction motor drive design should include drive loss reduction, or efficiency improvement, proportional to load torque such that optimal performance of drive is not affected. In this paper, using analytical methods, an accurate model is proposed for induction motor drive design. This model allows us to utilize real control and classical control theory for better performance of drive control system. The most damaging mechanical load for induction motor drive is impulse load or so-called periodic load. A scheme proposed for power loss control includes loss control for this type of load, meanwhile, robustness of drive system and stator frequency stability are retained. Main advantages for this scheme are applicability and implementation on various induction motor drives with various powers, without any specific requirements and the least possible computation for the processors.