BLDC control using PID & FUZZY logic controller-CSD PPT
- 1. BRUSHLESS DC MOTOR CONTROL USING PID & FUZZY LOGIC CONTROL Amiya Ranjan Behera 140916013 EMAL
- 2. CONTENTS : Introduction BLDC Mathematical model of BLDC BLDC control by PID controller Advantage & disadvantages of PID controller BLDC control by FUZZY controller Result & discussion Comparison between PID & Fuzzy controller BLDC control by Fuzzy PID controller Conclusion 09-10-2014 2 CSDPresentation
- 3. INTRODUCTION : Brushless DC (BLDC) servomotor drives have been widely used in aeronautics, electric vehicles, robotics, and food & chemical industries. P,PI & PID controller are being used with the BLDC servomotor drive control system to achieve satisfactory transient and steady state response. Now a days PID & FUZZY logic controllers are the main controller being used to control BLDC. It is essential to know the exact mathematical model of the systems or response of the system for designing these controller. 09-10-2014 3 CSDPresentation
- 4. WHAT IS BLDC ? 09-10-2014 4 CSDPresentation
- 5. MATHEMATICAL MODELING OF BLDC : 09-10-2014 5 CSDPresentation
- 6. DESIGN OF PID CONTROLLER : 09-10-2014 6 The PID controller algorithm involves three separate constant parameters, and is accordingly sometimes called three-term control: the proportional, the integral and derivative values, denoted P, I, and D. Defining as the controller output, the final form of the PID algorithm is: CSDPresentation
- 7. IMPLEMENTATION PID CONTROLLER : 09-10-2014 7 CSDPresentation
- 8. ADVANTAGE & DISADVANTAGES OF PID : It is well known that the conventional PID controllers will yield better transient and steady- state responses, if the system parameters remain unchanged during the operating conditions. But the parameters of the practical systems change during operating conditions. As a result, the PID controllers failed to yield desired performance under nonlinearity, load disturbances, and parameter variations of motor and load. This has resulted in an increase in demand for nonlinear controllers, intelligent and adaptive controllers. 09-10-2014 8 CSDPresentation
- 9. DESIGN OF FUZZY CONTROLLER : 09-10-2014 9 CSDPresentation
- 10. IMPLEMENTATION FUZZY CONTROLLER : 09-10-2014 10 CSDPresentation
- 12. DISADVANTAGES OF FUZZY CONTROLLER: It is not useful for programs much larger or smaller than the historical data. It requires a lot of data The estimators must be familiar with the historically developed programs 09-10-2014 12 CSDPresentation
- 13. BLDC CONTROL BY FUZZY PID CONTROLLER: 09-10-2014 13 Fuzzy PID control is in the PID control based on fuzzy control theory. The main motivation for this design is to control some known nonlinear systems, which violate the conventional assumption of the linear PID controller. CSDPresentation
- 14. CONCLUSION : The PID and fuzzy control techniques are successfully implemented for the BLDC servomotor drive system. The effect of parameter variations on the performance of the BLDC servomotor drive system is investigated with experimental results. Since the PID-fuzzy control system is easy to design and implement, effective in dealing with the uncertainties and parameter variations, and has better overall performance, fuzzy-PID controller- based BLDC servomotor drive system may be preferred over PID controller-based BLDC servomotor drive for automation, robotics, position and velocity control systems, and industrial control applications. 09-10-2014 14 CSDPresentation
- 15. REFERENCES : R. Krishnan, Permanent Magnet Synchronous and Brushless DC Motor Drives: Theory, Operation, Performance, Modelling , Simulation, Analysis, and Design—Part 3, Permanent Magnet Brushless DC Machines and their Control. Boca Raton. P. Pillay and R. Krishnan, “Modelling, simulation, and analysis of permanent-magnet motor drives, part ii: The brushless dc motor drive,”IEEE Trans. Ind. Appl., vol. 25, no. 2 R. Shanmugasundram, K. M. Zakariah, and N. Yadaiah, “Low-cost high-performance brushless dc motor drive for speed control applications,” in Proc. IEEE Int. Conf. Adv. Recent Technol.. 09-10-2014 15 CSDPresentation