Efficiency Optimization of Induction Motor Drive (original) (raw)
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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.
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.
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.
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.
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.
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.
Dynamic search technique for efficiency optimization for variable speed induction machine
2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
This paper proposes a dynamic search algorithm (DSA) based loss model controller (LMC) for the online efficiency optimization of induction motor drives. The algorithm incorporates a fast search process and a simplified loss modelbased control, while updating the equivalent core loss resistance in the model. It ensures very fast convergence without any torque pulsations and a priori knowledge of the motor loss related parameters. A simplified d-q based model for the motor and the loss function is proposed to arrive at an approximate flux reference for any operating point. Then this flux reference is modified through a dynamic search algorithm (DSA) for optimal operating point at any load condition. The approach is simple and requires no additional hardware for practical implementation. Simulation and suitable experiments show a close agreement to confirm the validity and usefulness of the proposed technique.
On-Line Efficiency Improvement of Induction Motor Vector Controlled
Advances in Electrical and Electronic Engineering, 2016
Efficiency improvement is an important challenge for electric motor driven systems. For an induction motor, operation under rated conditions (at rated load with rated flux) is very efficient. However, in many situations, operation with rated flux causes low efficiency especially at light load ranges. In these applications, induction motor should operate at reduced flux which causes a balance between iron losses and copper losses leading to an improved efficiency. This paper concerns energy optimization, i.e. efficiency improvement is carried out via a controller designed on the basis of imposing the rated power factor, by finding a relationship between rotor flux and torque current component which can optimize the compromise between torque and efficiency in steady state as well as in transient state. Experimental results are presented to prove the effectiveness and validity of the proposed controller.
Economic Efficiency Measure of Induction Motors for Industrial Applications
International Journal of Electrical and Computer Engineering (IJECE), 2017
This paper, introduced an expression of Economic Efficiency Measure (EEM) to permit quick evaluation for replacement of faulty induction motor with alternative (new or refurbished motor) for lowest life-cycle cost based on efficiency and rated-load conditions. This approach, simplifies the process for evaluating the energy efficiency to mere proportionate factor called as EEM. During the operating phase, the motor losses correspond to extra energy consumption, based on various parameters like motor operating conditions, operating hours, operating costs, fault factor, depreciation factor and fixed costs. The approach is effective in addressing the global issue on replacement of the faulty motor that needs a comprehensive analysis and mathematical expression. Compared to other alternatives the EEM provides a simple but effective and reliable means to asses, the feasibility of replacing or refurbishing the faulty motor. A detail analysis here would establish how much the present approach is effective in determining the replacement for a faulty induction motor either by a new one or refurbished one of corresponding rating. 1. INTRODUCTION The induction motor is the main driven system in industries, which consumes 30-60 percent of total electrical energy. Energy is utmost need in every field to perform activities whether it is residential, commercial, industrial, agricultural and host of alike applications. The need for energy conservation is vital but the best practice principle while selecting induction motor begins with analyzing the life cycle cost of the motor. Life cycle cost is a financial principle for selection of motors as they consume more than half the energy used by the plant [1]. In general, 65 percent of the total load is industrial load in India and 90 percent of this industrial load is induction motor load. It is a well known fact that induction motor operating at full load offers good efficiency, even at relatively modest kW-rating. However, at lower values than rated loads, which is common condition that many motor experience for significant portion of their service, their efficiencies decreases and increases losses so energy consumption is more in industry [2]. The efficiency of a motor is determined by intrinsic losses (fixed losses and variable loss) that can be reduced only by changing the design of the motor. It is evident that optimizing efficiency of induction motors would significantly address this issue but major task lays mostly in its difficult controllability, due to its complex mathematical model, its non linear behavior during saturation effect and the electrical parameter oscillation which depends on the physical influence of the temperature. When induction motors are operated without a proper control (drive), the motors are consuming large energy and the operating costs are high. These physical and operational disturbances often cause failure of the motor, often replacement of the motor is considered as a viable solution but often to reinstall a failed motor after refurbishing could be economically feasible. The most common cause of
Induction motor efficiency maximizing based on torque per power index
Indonesian Journal of Electrical Engineering and Computer Science, 2022
In this paper, efficiency maximization of induction motor variable frequency speed regulation system based on torque per power (TPP) index is proposed. The detail of the mathematical model of the induction motor considering the iron loss and the rotor field orientation, the relationship between the motor torque loss power ratio and the motor speed and slip frequency presented. The functional relationship between the torque loss power ratio and the motor speed and slip is derived, and the derivative is obtained to find the optimal slip frequency corresponding to the maximum value. The simulation model and experimental platform of the control system were built in Matlab/Simulink to verify the effectiveness of the method. The result approved the torque loss power ratio takes the maximum value, the high energy efficiency operation with the minimum power loss of the motor control system is realized.