Fuzzy surface-based sliding mode control

Iglesias, Edinzo; García, Yohn; Sanjuán, Marco; Camacho, Oscar; Smith, Carlos A.

doi:10.1016/j.isatra.2006.04.002

Cited by 35 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are seven supervising functions for the seven PSFaSMC parameters (K e , K ec , K u , a, c 0 , d, and k), as given in Eq. (27). As shown in Fig.…”

Section: Offlinementioning

confidence: 82%

“…There are seven design variables (K e , K ec , K u , c 0 , d, k, and a) in PSFaSMC in the online step, which are given in Eq. (27). As stated in Eq.…”

Section: Onlinementioning

confidence: 98%

“…The heuristic information may come from an operator that acts as a "human-in-the-loop" controller and from whom experimental data are obtained. In recent years, a lot of literature has been generated in the area of fuzzy sliding mode control (FSMC) [11,[14][15][16][17][18][19][20][21][22][23][24][25][26][27][28], which covered the chattering phenomenon of the traditional SMC design. The involvement of FLC in the design of the FSMC based controller can be harnessed to help reduce the chattering problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid Fuzzy Skyhook Surface Control Using Multi-Objective Microgenetic Algorithm for Semi-Active Vehicle Suspension System Ride Comfort Stability Analysis

Chen

Wang

Qiu

et al. 2012

Journal of Dynamic Systems, Measurement, and Control

View full text Add to dashboard Cite

A polynomial function supervising fuzzy sliding mode control (PSFαSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOμGA) has been utilized to determine the PSFαSMC controller’s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step. Then, the optimized parameters are applied to the real-time control process by the polynomial function supervising controller, which is named “online” step. A two-degree-of-freedom dynamic model of the vehicle semi-active suspension systems with the stability analysis is given for passenger’s ride comfort enhancement studies, and a simulation with the given initial conditions has been devised in MATLAB. The numerical results have shown that this hybrid control method is able to provide real-time enhanced level of reliable ride comfort performance for the semi-active suspension system.

show abstract

“…There are seven supervising functions for the seven PSFaSMC parameters (K e , K ec , K u , a, c 0 , d, and k), as given in Eq. (27). As shown in Fig.…”

Section: Offlinementioning

confidence: 82%

“…There are seven design variables (K e , K ec , K u , c 0 , d, k, and a) in PSFaSMC in the online step, which are given in Eq. (27). As stated in Eq.…”

Section: Onlinementioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Fuzzy Skyhook Surface Control Using Multi-Objective Microgenetic Algorithm for Semi-Active Vehicle Suspension System Ride Comfort Stability Analysis

Chen

Wang

Qiu

et al. 2012

Journal of Dynamic Systems, Measurement, and Control

View full text Add to dashboard Cite

show abstract

“…The sliding mode controller designed for this system is based on Camacho et al, 2000Camacho et al, , 2007 is given in Eq. (8).…”

Section: Controller Design For Beam Positionmentioning

confidence: 99%

“…Therefore it may not be practical, because there are many implementation aspects that must be addressed, namely real-time response, communication bandwidth, computational capacity and on board battery. They require substantial computational power because of complex decision making processes [22,23]. FLC has to deal with fuzzification, rule base storage, inference mechanism and defuzzification operations.…”

Section: Modified Sliding Surfacementioning

confidence: 99%