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Optimization techniques to enhance the performance of induction motor drives: A review ABSTRACT: Induction motor (IM) drives, specifically the three-phase IMs, are a nonlinear system that are difficult to explain theoretically because of their sudden changes in load or speed conditions. Thus, an advanced controller is needed to enhance IM performance. Among numerous control techniques, fuzzy logic controller (FLC) has increasing popularity in designing complex IM control system due to their simplicity and adaptability. However, the performance of FLCs depends on rules and membership functions (MFs), which are determined by a trial and- error procedure. The main objective of this paper is to present a critical review on the control and optimization techniques for solving the problems and enhancing the performance of IM drives. A detailed study on the control of variable speed drive, such as scalar and vector, is investigated. The scalar control functions of speed and V/f control are explained in an open- and closed-loop IM drive. The operation, advantages, and limitations of the direct and indirect field-oriented controls of vector control are also demonstrated in controlling the IM drive. A comprehensive review of the different types of optimization techniques for IM drive applications is highlighted. The rigorous review indicates that existing optimization algorithms in conventional controller and FLC can be used for IM drive. However, some problems still exist in achieving the best MF and suitable parameters for IM drive control. The objective of this review also highlights several factors, challenges, and problems of the conventional controller and FLC of the IM drive. Accordingly, the review provides some suggestions on the optimized control for the research and development of future IM drives. All the highlighted insights and recommendations of this review will hopefully lead to increasing efforts toward the development of advanced IM drive controllers for future applications. For Simulation Results of the project Contact Us
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0-9347143789/9949240245 KEYWORDS: 1. Induction motor drive 2. Optimization algorithms 3. Scalar control 4. Vector control 5. Fuzzy logic controller
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig. 1. Architecture of the IM control system.
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0-9347143789/9949240245 CLOSED-LOOP OF SCALAR CONTROL FOR IM DRIVE:
Fig. 2. Closed-loop of scalar control for IM drive.
BLOCK DIAGRAM OF DFOC FOR IM DRIVE
Fig. 3. Block diagram of DFOC for IM drive.
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0-9347143789/9949240245 BLOCK DIAGRAM OF IFOC FOR IM DRIVE
Fig. 4. Block diagram of IFOC for IM drive.
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0-9347143789/9949240245 BLOCK DIAGRAM OF DTC FOR IM DRIVE
Fig.5 Block diagram of DTC for IM drive
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OPTIMIZATION TECHNIQUE BASED ON PID SPEED CONTROLLER FOR SCALAR CONTROL
Fig. 6. Optimization technique based on PID speed controller for scalar control
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0-9347143789/9949240245 OPTIMIZATION TECHNIQUE BASED ON PID CONTROLLERS FOR (A) DFOC AND (B) IFOC
(a)
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(b) Fig. 7. Optimization technique based on PID controllers for (a) DFOC and (b) IFOC.
OPTIMIZATION TECHNIQUE BASED ON FUZZY LOGIC SPEED CONTROLLER FOR SCALAR CONTROL.
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Fig. 8. Optimization technique based on fuzzy logic speed controller for scalar control.
OPTIMIZATION TECHNIQUE BASED ON FLC CONTROLLERS FOR (A) DFOC AND (B) IFOC.
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(a)
(b) Fig. 9. Optimization technique based on FLC controllers for (a) DFOC and (b) IFOC.
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0-9347143789/9949240245 CONCLUSION: In this paper, an Indirect Field-Oriented Control (IFOC) scheme for a drive system of threephase induction motor is effectively investigated and validated using various simulation results in Matlab/Simulink. The performance of proposed controller is verified by introducing variation in speed and load torque. Simulation results demonstrate that PI has sluggish response compared to AFLC. In all load torque variations, the proposed AFLC shows robustness and continues to track the reference with small steady-state error. Moreover, AFLC based on LM is robust to model parameter variations, load variations and less sensitive to uncertainties and disturbances. The proposed scheme verifies superior and smoother performance with improved dynamic response. Furthermore, the effectiveness of proposed AFLC is evaluated and justified from performance indices IAE, ISE and ITAE.
REFERENCES: 1. Leonhard W (1996) Controlled AC drives, a successful transfer from ideas to industrial practice. Control Eng Pract 4(7):897–908 2. Fitzgerald AE,KingsleyCU, StephenD(1990) Electricmachinery, 5th edn. McGraw-Hill, New York 3. Marino R, Peresada S, Valigi P (1993) Adaptive input-output linearizing control of induction motors. IEEE Trans Autom Cont 38(2):208–221 4. Leonhard W (1985) Control of electrical drives. Springer-, Berlin 5. HeinemannG(1989) Comparison of several control schemes for ac induction motors. In: Proceedings of European Power Electronics Conference (EPE’89), pp 843–844
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