Zamzuri, H. and Zolotas, A. C. and Goodall, R. M. (2007) LQG and fuzzy correction mechanism in tilting railway vehicle control design. In: 3rd IFAC workshop on Advanced Fuzzy and Neural Network (AFNC07), 29-30 Oct. 2007, Valenciennes, France.
- Accepted Version
Official URL: http://dx.doi.org/10.3182/20071029-2-FR-4913.00003
This paper reveal the work on modern control approaches on titling railway vehicles. The design of the LQG with integral action will force the output to the steady state zero while by adding fuzzy mechanism to the controller will improve the performance of the system both for the deterministic and stochastic track. Moreover, the used of multiobjective GA as a tuning method seek an optimum values based to the constraints in the objective functions.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||tilting trains, tilt control, fuzzy logic, genetic algorithm, linear quadratic Gaussian|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
|Deposited By:||Dr Hairi Zamzuri|
|Deposited On:||16 Aug 2011 05:55|
|Last Modified:||03 Sep 2012 08:58|
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