Simplified fuzzy logic control of sinusoidal permanent magnet synchronous motor drives
Fuzzy Logic Control (FLC) is suitable for a controller design when the system is difficult to model mathematically due to its complexity, nonlinearity and imprecision. It is widely used in high performance drives to obtain precise speed control irrespective of load disturbances and parameter variati...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/15008/1/SIMPLIFIED%20FUZZY%20LOGIC%20CONTROL%20OF%20SINUSOIDAL%20PERMANENT%20MAGNET%20SYNCHRONOUS%20MOTOR%20DRIVES%2024pages.pdf http://eprints.utem.edu.my/id/eprint/15008/2/Simplified%20fuzzy%20logic%20control%20of%20sinusoidal%20permanent%20magnet%20synchronous%20motor%20drives.pdf |
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| Summary: | Fuzzy Logic Control (FLC) is suitable for a controller design when the system is difficult to model mathematically due to its complexity, nonlinearity and imprecision. It is widely used in high performance drives to obtain precise speed control irrespective of load disturbances and parameter variations. The purpose of this project is to investigate and evaluate speed performance of the FLC in vector controlled Sinusoidal Permanent Magnet Synchronous Motor (SPMSM) drives. The SPMSM is controlled by a vector control technique operating like a separately excited DC motor. The mathematical model of SPMSM drives is simulated using the MATLAB Simulink program. The standard FLC which comprise of 49 rules is initially designed based on common criteria. From investigation on the FLC tuning, two simplified FLCs are designed based on fuzzy rules reduction with systematic and reasonable approaches. The efficacies of the FLC simplification are determined by conducting a comparative analysis between standard FLC and simplified FLCs over a wide range of operating conditions. This is based on simulation approach including various initial step speed commands, load disturbance, step reduction in speed command, inertia variations, and speed reversal operation. The FLCs are developed using the Fuzzy Logic Toolbox in MATLAB. The simulation results show that the simplified FLCs obtain comparable performance with the standard FLC in some cases while in others, they perform better than the standard FLC. The simulation results are further evaluated by an experimental investigation. The FLC, co-ordinate transformation and hysteresis current controllers are implemented in the software using Simulink, Fuzzy logic Toolbox and Real-time interface. The hardware implementation consisting of digital signal processor, voltage source inverter, resolver-to-linear DC converter, current sensors and SPMSM are equipped with a speed resolver. As a result, the simplified FLCs are capable to obtain high performance standards with simple rules, less complex structure, less computation time besides solving the limitation of processor and memory resources. |
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