Real-Time Hardware Implementation of Intelligent Adaptive Fuzzy Neural Network Controller For Uncertain Nonlinear Systems
碩士 === 國立交通大學 === 電機與控制工程系所 === 93 === In the thesis, true hardware implementation of an on-line intelligent adaptive TSK FNN controller is performed to control the planetary inverted pendulum. The hardware platform is dSPACE DS 1104 R&D control board under Windows 2000 running with MatLab. Exce...
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| Format: | Others |
| Language: | zh-TW |
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2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/24c7f5 |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 93 === In the thesis, true hardware implementation of an on-line intelligent adaptive TSK FNN controller is performed to control the planetary inverted pendulum. The hardware platform is dSPACE DS 1104 R&D control board under Windows 2000 running with MatLab. Excellent agreements have been obtained between theoretical simulation and hardware implementation. The effects of computational time delay for controller is also investigated through both software simulation and hardware emulation and by building SimuLink blocks in MatLab. The estimated maximum computational time delay can be quite practical for the industrial applications to choose cheaper hardware platform with less cost.
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