ABSTRACT:
This paper presents the
modeling and simulation of an adaptive neuro-fuzzy inference strategy (ANFIS)
to control the speed of the switched Reluctance motor .The SRM control is thus
a difficult to be in use in the nonlinear
applications, particularly in the control of speed in automobiles. The
Neuro-fuzzy system incorporates the advantages of both neural-network and fuzzy
system. This controller is great additional effectual than Fuzzy logic and neural network based controller,
while it has the ability of self-learning
the gain values and acclimatizes accordingly to situations, thus accumulating
more flexibility to the controller. A complete simulation, well-designed to the
nonlinear model of Switched Reluctance Drive was premeditated using MATLAB /SIMULINK.
KEYWORDS:
1.
SR Drive
2.
ANFIS
3.
ANN
4.
FLC
Fig.1.Block Diagram of ANFIS
Controller for SRM Plant
EXPERIMENTAL RESULTS:
Fig.2:
Response of the speed control of SRM using FUZZY, ANN and ANFIS with speed
Command 3000 RPM under no load conditions.
Fig.3: Response of the Speed and
Torque Control of SRM using ANFIS with Speed Command 3000 Rpm under no load conditions.
Fig.4: Response of The Speed and Torque
Control of SRM using Fuzzy, ANN and ANFIS with Speed command 4000 rpm.
Fig.5:
Response of the Speed and Torque Control of SRM using ANFIS with Speed Command
4000 rpm.
Fig.6: Response of the speed control of
SRM using FUZZY, ANN and ANFIS with speed Command 3000 RPM under load Conditions
Fig.7: Response of the speed and torque
control of SRM using ANFIS with speed Command 3000 RPM under load conditions
CONCLUSION:
In this paper, ANFIS-based
controller was presented for SR drives. The speed and torque control method
existing in this paper and comparing
with the previous control schemes(fuzzy &ANN), while it can be used in both
no load and load operating speeds and conditions including speed and torque transients,
zero-speed standstill, and startup, and does not suppose the linear characteristics
of the SR motor. Moreover, the proposed technique does not need of complex
calculations to be carried out during the real-time operation, and no complex
mathematical model of the SR motor is required. A main thought in the research
was the robustness and reliability of the speed controlling method.
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,2014, ‘High Speed Charging and Discharging Current Controller Circuit to
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