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Title: | Designing optimal fuzzy-compensator-enhanced sliding controller for train-car semi-active suspensions | Authors: | Sy Dzung Nguyen Nguyen Quoc Hung Nang Toan Truong |
Keywords: | Sliding mode control;Fuzzy sliding control;MRD suspension;Disturbance observer | Issue Date: | 2017 | Series/Report no.: | FUZZ-IEEE | Conference name: | IEEE International Conference on Fuzzy Systems | Abstract: | An optimal fuzzy disturbance observer-enhanced sliding mode controller (FDO-SMC) for magneto-rheological damper (MRD)-based semi-active train-car suspensions (MRD-TSs) subjected uncertainty and disturbance (UAD) whose variability rate may be high but bounded is proposed. The two main parts of the FDO-SMC are an adaptive sliding mode controller (aSMC) and an optimal fuzzy disturbance observer (oFDO). First, initial structures of the sliding mode controller (SMC) and disturbance observer (DO) are built. Adaptive update laws for the SMC and DO are then set up synchronously via Lyapunov stability analysis with a used parameter constraint mechanism. An optimal fuzzy system (oFS) is designed to implement fully the constraint mechanism so as to guarantee for the stable converging to the desired state even if the UAD variability rate increases in a given range. As a result, the aSMC and the oFDO are created from the SMC and DO. The compared simulation surveys reflected that the positive competence to stamp out and isolate vibration with the lower consumed power is the main advantage of the proposed controller. |
Duration: | 9-12/7/2017 | Conference venue: | Naples, Italy | URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/220 |
Appears in Collections: | Conference papers |
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