Abstract
Fuzzy logic control methods are an integral part of control engineering and are widely used in applications such as robotics, rehabilitation, home appliances, and many more. Here, an interval type-2 fuzzy logic control-based proportional-integral-derivative (IT2-FLC-PID) control method is presented for the lower-limb exoskeleton. The intention of the use of the IT2-FLC-PID approach is to handle the system uncertainties and external disturbances encountered with the exoskeleton plant. The optimal controller parameters can be obtained using a well-known and nature-inspired optimization algorithm, the namely cuckoo search algorithm (CSA). To investigate the efficacy of the IT2-FLC-PID control scheme applied to the exoskeleton system, simulation results are compared with the traditional type-1 FLC-PID (TI-FLC-PID) and the standard PID control approach.
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Sharma, R., Rouhani, H. (2023). Application of Interval Type-2 Fuzzy Logic Control Approach to the Lower-Limb Exoskeleton. In: Castillo, O., Kumar, A. (eds) Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications. Studies in Fuzziness and Soft Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-031-26332-3_1
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DOI: https://doi.org/10.1007/978-3-031-26332-3_1
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