I just acquired your course on udemy on a quickstart guide on fuzzy logic. Thank you for such great work. It has really simplified the application of fuzzy logic.
Please prof. I intend applying the fuzzy logic application to the control of the speed of a switched reluctance motor operating in its regenerative mode. Please, I need your guide and insight in achieving it. I have followed your illustrated fuzzy logic control of a DC motor. I need a guide in applying such rule in SRG.
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Dear Prof,
Please How can an output voltage of a Switched Reluctance Generator be harvested. Is the converter connection different the normal converter connection in the lecture video two. If yes, How is the connection like .How can load be attached to the SRG.
Thank you sir
*Good Day sir
Good dat Dr. Jignesh,
I have issues with my motor operating in its generating mode. i discovered that the speed is constantly negatively increasing and never settle. Even when a controller, PI controller is applied to it, it stills increases negatively and never settle
Thank you Dr. Jignesh
Please Dr. i still need clarity on the implementation of SRG on simulink. what is the difference in design between the SRG and SRM using speed commutation
For SRG, we can not use load current to control the speed, thus its as simple as controlling the speed of DC motor. Input and pattern of membership functions remains same only you have to choose output of fuzzy logic. Control the speed by controlling a mechanical input or by controlling the dwell angle. Both have same effect like controlling the PWM pulse during motor operation. Higher input results higher speed, or higher dwell angle results higher speed. So set output of fuzzy logic controller either mech input or dwell angle and set the limits and values of membership functions according to it.
I am implementing fuzzy logic for the speed control of SRG and considering a reference speed limit of 1000. In designing the fuzzy logic, i will like to know how to implement a SRG on Simulink and the condition in choosing values as width limit for the error, change in error and output of the fuzzy membership function
Okay
I am working on the control of switched reluctance generator (SRG) using fuzzy logic control
Why are you confusing in generator and braking, one is Faraday's law while other is lenz's law, both have equal importance in ant electro-mechanical process. Explain clearly what are you trying to do more i.e I am implementing fuzzy logic for the speed control of SRM or SRG or controlling braking characteristics of SRM? Make a closed-loop block diagram of the system without specifying a type of controller i.e fuzzy ot PID. It will give clear understanding about the issue.
Thank Dr. Jignesh
Your Explanation on the difference is clear. Prof. please i want know how then to design a simulation on the switched reluctance generator without using the regenerative braking approached you introduced in your lecture, and also how to defined boundaries or limit for the fuzzy logic control of 1000rpm switched reluctance generator
Thank you Prof.
Difference is in in input only. In SRG, we have control over input (mechanical) while in Regenerative braking we don't have it. In SRG we can maintain constant speed by governing a input, whereas in regeneration we have to control braking time. And note that it's not possible to generate without braking, but in SRG we have to feed constant input to maintain speed over braking effect produce by the load current.
Thank you Dr. Jignesh.
Please i need clarity on this. Is there a difference between the SRG and a motor operating in its regenerative mode.
Going by your simulation on "Regeneration during braking" what is the difference between purely SRG.
Is it possible to generate without braking operation?, lets say for wind energy application.
If it is possible to achieve generation without braking operation, i will like to know how
Thank you Prof.
Fuzzy logic can be implemented to the SRM same way as implemented in DC motor as both motor are controlled with PWM control. But to have insite on speed control during regenerative braking, checkout this video.