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á à Á À é è É È ç Ç ê
Ä Ö Ü ä ö ü ß
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± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋ － ＜ ＝ ＞
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      Sliding mode fuzzy control algorithm is studied for vibration reduction of large structures. The controller is composed of a compensation part and a convergent part. This structure is derived in accordance with Lyapunov stability theorem. The rule base of the fuzzy inference engine is constructed based on the sliding mode control. The fuzziness of the controller makes the control system robust against the uncertainties in the system parameters and the input excitation. The non linearity of the control rule makes the controller more effective than simple linear controllers. The design procedure based on the intelligent control theory is more convenient than the case of the conventional algorithms based on the complex mathematical analysis, such as Linear Quadratic Regulator (LQR) or Sliding Mode Control (SMC). For the verification of suggested algorithm, example simulation studies are carried out on a 3-story building model for seismic excitation. Performance of SMFC is examined in comparison with those of LQR and SMC for various input excitations. Robustness with respect to the parameter uncertainties is also examined. The results indicate that the SMFC is robust w.r.t. the variation in the earthquake input and strcture’s parameter.
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      Sliding mode fuzzy control algorithm is studied for vibration reduction of large structures. The controller is composed of a compensation part and a convergent part. This structure is derived in accordance with Lyapunov stability theorem. The rule bas...

      Sliding mode fuzzy control algorithm is studied for vibration reduction of large structures. The controller is composed of a compensation part and a convergent part. This structure is derived in accordance with Lyapunov stability theorem. The rule base of the fuzzy inference engine is constructed based on the sliding mode control. The fuzziness of the controller makes the control system robust against the uncertainties in the system parameters and the input excitation. The non linearity of the control rule makes the controller more effective than simple linear controllers. The design procedure based on the intelligent control theory is more convenient than the case of the conventional algorithms based on the complex mathematical analysis, such as Linear Quadratic Regulator (LQR) or Sliding Mode Control (SMC). For the verification of suggested algorithm, example simulation studies are carried out on a 3-story building model for seismic excitation. Performance of SMFC is examined in comparison with those of LQR and SMC for various input excitations. Robustness with respect to the parameter uncertainties is also examined. The results indicate that the SMFC is robust w.r.t. the variation in the earthquake input and strcture’s parameter.

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      목차 (Table of Contents)

      • 1. 서론
      • 2. SLIDING MODE FUZZY CONTROL
      • 3. 수치모의 실험
      • 1. 서론
      • 2. SLIDING MODE FUZZY CONTROL
      • 3. 수치모의 실험
      • 4. 결론
      • 5. REFERENCE
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