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Slip rate estimation for vehicle stability enhancement using fuzzy based electronic differential controller
Ravi, A1, Palani, S2.
Fuzzy Logic based Electronic Differential Controller (FLEDC) for sensorless
drive based electric vehicle is presented. The proposed system consists of two
Brushless DC motors (BLDC) that ensure the drive of the two back driving
wheels of an electric vehicle. Electronic Differential Controller (EDC) can
control both the driving wheel independently to turn at different speeds in any
curve according to the steering angle. The sensorless control strategies include
back EMF zero crossing detection and third harmonic voltage integration are
used to analyse the proposed system. Fuzzy logic based EDC is used on these
sensorless control strategies which optimizes the slip rate within the specified
limit. To enhances the vehicle stability, the performances in terms of optimum
value of slip rate and also current, torque, back EMF are obtained by the
proposed method. By this investigation, a suitable control strategy has been
identified and also experimentally validated.
Affiliation:
- Sudharsan Engineering College, India
- Sudharsan Engineering College, India
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Indexation |
Indexed by |
MyJurnal (2019) |
H-Index
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0 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus (SCImago Journal Rankings 2016) |
Impact Factor
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- |
Rank |
Q3 (Engineering (miscellaneous)) |
Additional Information |
0.193 (SJR) |
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