Abstract:
A method of improving the performance of discrete fuzzy logic control (FLC) when applied to different systems will be proposed in this paper. Improvements to the controll...Show MoreMetadata
Abstract:
A method of improving the performance of discrete fuzzy logic control (FLC) when applied to different systems will be proposed in this paper. Improvements to the controller performance have been made in terms of steady state error, lowered ripple heights, and decreased settling time, particularly with respect to a multi-machine power system. Regarding our methodology, a truth-table was first pre-calculated, allowing direct mapping of given inputs to a suitable output following basic fuzzy logic operations. Next, a novel method of increasing the resolution of the FLC when the output nears the reference signal was implemented. Finally, simulations were run to prove the effectiveness of the proposed method compared to conventional control schemes in both linear and non-linear systems.
Published in: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Date of Conference: 18-21 November 2018
Date Added to IEEE Xplore: 20 December 2018
ISBN Information:
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- IEEE Keywords
- Index Terms
- Fuzzy Logic ,
- Power System ,
- Linear System ,
- Nonlinear Systems ,
- Reference Signal ,
- Settling Time ,
- Fuzzy Control ,
- Steady-state Error ,
- Rule-based ,
- Input Signal ,
- Output Signal ,
- Lookup Table ,
- Computational Overhead ,
- Detailed System ,
- Transmission Network ,
- Wide Variety Of Applications ,
- Recursive Algorithm ,
- Discrete Samples ,
- Damping Characteristics
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Fuzzy Logic ,
- Power System ,
- Linear System ,
- Nonlinear Systems ,
- Reference Signal ,
- Settling Time ,
- Fuzzy Control ,
- Steady-state Error ,
- Rule-based ,
- Input Signal ,
- Output Signal ,
- Lookup Table ,
- Computational Overhead ,
- Detailed System ,
- Transmission Network ,
- Wide Variety Of Applications ,
- Recursive Algorithm ,
- Discrete Samples ,
- Damping Characteristics