Study of fuzzy logic based adaptive position control used for AC servo system
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作者:
Wang, Baoren
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Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
Shandong Univ Sci & Technol, Qingdao 266510, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
Wang, Baoren
[1
,2
]
Zhang, Chengrui
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机构:
Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
Zhang, Chengrui
[3
]
Jia, Lei
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Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R ChinaShandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
Jia, Lei
[1
]
机构:
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
[2] Shandong Univ Sci & Technol, Qingdao 266510, Peoples R China
[3] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
The goal of this work is to present a novel control method, which can adjust the position controller's parameters automatically, and output optimized control signals. For employing fuzzy logic and adaptive learning algorithm, this method doesn't need the object's model in working. The designs of fuzzy controller and adaptive law were discussed in detail, furthermore simulation analysis had been carried by Matlab. The results indicate that the method has a good control effect on both regulating and set-point following, and that is a robust and accurate solution for position-control servo systems with uncertain models.