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| Content Provider | Springer Nature Link |
|---|---|
| Author | Thinh Ngo, Ha Quang Shin, Jin Ho Kim, Won Ho |
| Copyright Year | 2008 |
| Abstract | This work presents the design of a robust control system using a sliding mode controller that incorporates a fuzzy control scheme. The presented control law superposes a sliding mode controller and a fuzzy logic controller. A fuzzy tuning scheme is employed to improve the performance of the control system. The proposed fuzzy sliding mode control (FSMC) scheme utilizes the complementary cooperation of the traditional sliding mode control (SMC) and the fuzzy logic control (FLC). In other words, the proposed control scheme has the advantages which it can guarantee the stability in the sense of Lyapunov function theory and can ameliorate the tracking errors, compared with the FLC and SMC, respectively. Simulation results for the trajectory tracking control of a two-link robot manipulator are presented to show the feasibility and robustness of the proposed control scheme. |
| Starting Page | 124 |
| Ending Page | 128 |
| Page Count | 5 |
| File Format | |
| ISSN | 14335298 |
| Journal | Artificial Life and Robotics |
| Volume Number | 13 |
| Issue Number | 1 |
| e-ISSN | 16147456 |
| Language | English |
| Publisher | Springer Japan |
| Publisher Date | 2008-12-14 |
| Publisher Place | Japan |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Fuzzy sliding mode control Fuzzy logic control Stability Robot manipulator Tracking control Control , Robotics, Mechatronics Computation by Abstract Devices Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Biochemistry, Genetics and Molecular Biology |
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