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Implementation of Type-2 Fuzzy Control of PMSM Position Drive with Flexible Coupling
Nowadays permanent magnet synchronous motor (PMSM) drives use in many industrial applications. There are some problems with tuning of control loops' controllers related with nonlinear mathematical model of motors, variable load torque and inertia uncertainty. Additional complexity is appeared w...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Request full text |
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Summary: | Nowadays permanent magnet synchronous motor (PMSM) drives use in many industrial applications. There are some problems with tuning of control loops' controllers related with nonlinear mathematical model of motors, variable load torque and inertia uncertainty. Additional complexity is appeared when engine has flexible coupling between motor and plant in case it's necessary to provide accuracy of positioning or smoothness of movement. Fuzzy Expert Systems are one step of Artificial Intelligence, so they are suitable for such tasks. Especially for such tasks it is preferable to use interval type-2 fuzzy control which differs from type-1 fuzzy algorithm by blurring of the boundaries of the membership functions, therefore the system becomes robust in a larger range of internal and external distributions. Paper presents application of Type-2 Fuzzy Control for PMSM Position Drive with flexible coupling. Comparison of dynamics and accuracy in systems with different types of position controllers: PID, Type-2 Fuzzy is given. It's shown that system with Interval Type-2 Fuzzy position controller has the best robust among represented controllers. |
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ISSN: | 2576-3555 |
DOI: | 10.1109/CoDIT.2019.8820317 |