A fictitious reference iterative tuning method for buck converter-powered DC motor control system
This paper presents a model-free optimization algorithm for a PID controller based on Fictitious Reference Iterative Tuning and Simulated Kalman Filter. The modeling of a buck converted-powered DC motor system is first provided to form the basis of data collection and fictitious reference signal der...
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| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English English |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/26333/1/6.%20A%20fictitious%20reference%20iterative%20tuning%20method.pdf http://umpir.ump.edu.my/id/eprint/26333/2/6.1%20A%20fictitious%20reference%20iterative%20tuning%20method.pdf http://umpir.ump.edu.my/id/eprint/26333/ |
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| 要約: | This paper presents a model-free optimization algorithm for a PID controller based on Fictitious Reference Iterative Tuning and Simulated Kalman Filter. The modeling of a buck converted-powered DC motor system is first provided to form the basis of data collection and fictitious reference signal derivation. The supplied model is however not a necessity in the scope of this work but is provided for the purpose of performance comparison. A cost function is formulated based on the minimization of error between the output response of the desired model with the output response of the closed-loop system. Simulation analyses using Matlab Software have been conducted for results validation and verification. Furthermore, a performance comparison between the proposed method and a model-based controller design has been carried out. From the numerical example, it shows that the system with the tuned PID controller exhibited a better angular velocity trajectory tracking compared to the system with the state feedback controller with integral gain. |
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