Abstract
An interval type-2 Takagi-Sugeno-Kang fuzzy logic system (IT2 TSK FLS) is applied to hydraulic force servo manipulator control based on interval type-2 fuzzy sets. One of the scarce attempts in developing type-2 FLC to control a highly nonlinear hydraulic force servo manipulator is presented, and the designed type-2 fuzzy logic controller can enhance the ability to weaken the influence caused by the interference, has good robustness, and has high-precision control effect. The interval type-2 fuzzy logic controller is designed for hydraulic force servo manipulator control and the effectiveness is simulated by MATLAB. The result shows the designed IT2 FLC not only reduces the overshoot by 2.7% and reduces the settling time from 7.7 seconds to 2.8 seconds, more than 50%, but also reduces the rising time by 0.5 seconds and improve the control performance compared with the type-1 fuzzy controller.
| Original language | English |
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| Publication status | Published - 2017 |
| Event | 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 - Beijing, China Duration: 2 Nov 2017 → 5 Nov 2017 |
Conference
| Conference | 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 |
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| Country/Territory | China |
| City | Beijing |
| Period | 2/11/17 → 5/11/17 |
Keywords
- Hydraulic Force Servo Manipulator Control
- Interval Type-2 Fuzzy Logic System
- MATLAB
- Settling Time