TY - JOUR IS - 4 KW - Controllers; Fuzzy systems; MATLAB; Stabilization; Unmanned underwater vehicles KW - Fuzzy sliding-mode controllers; Fuzzy-based sliding mode controller; Fuzzy-based SMC; Processing time; Single dimension-based fuzzy sliding mode controller; Single dimension-based fuzzy SMC; Sliding mode controller; Sliding-mode control; SMC; Zeno phenomena KW - Sliding mode control TI - Single dimension-based fuzzy sliding mode control design for the stabilisation of underactuated unmanned underwater vehicle N2 - The paper provides the comparative analysis of traditional fuzzy-based sliding mode controller (F-SMC) and single dimension-based fuzzy sliding mode controller (SDF-SMC) for the stabilisation of an underactuated unmanned underwater vehicle (UUV). It has been observed that the sliding mode control design stabilises the underactuated mechatronic system very smartly, but it causes a high number of oscillations known as Zeno phenomenon. This effect can easily be eliminated using fuzzy version of sliding mode controller (F-SMC) but at the same moment it takes high processing time due to fuzzification, inference and then defuzzification steps. The major reason for consuming such a huge process time is the two-dimensional rule base table. Thus, this research work will turn that two-dimensional table of rules into single dimension and propose single input-based fuzzy sliding mode controller (SDF-SMC) generating crisp input. In addition, this paper presents the comparative simulation work between conventional fuzzy-based SMC (F-SMC) and single dimension-based fuzzy SMC (SDF-SMC), carried on MATLAB/Simulink software to reduce the process time. In order to validate the effectiveness of proposed control scheme, the SDF-SMC algorithm is also implemented using proper hardware and experimental setup. Copyright © 2021 Inderscience Enterprises Ltd. SN - 17466172 EP - 314 ID - scholars15314 AV - none PB - Inderscience Publishers SP - 303 Y1 - 2021/// A1 - Mustafa Abro, G.E. A1 - Zulkifli, S.A.B.M. A1 - Khan, M.S.A. A1 - Asirvadham, V.S. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133757191&doi=10.1504%2fIJMIC.2021.123795&partnerID=40&md5=ca9895dd44d7a99ff4a0f2bddaac4886 N1 - cited By 0 JF - International Journal of Modelling, Identification and Control VL - 39 ER -