Semi-fuzzy CMAC and PD hybrid controller with compressed memory and semi-regularisation for electric load simulator
作者： Nanhao Gu , Bo Yang
DOI: 10.1049/IET-CTA.2018.6411
关键词: Simulation 、 Control theory 、 Control theory 、 Smoothing 、 Torque motor 、 Cerebellar model articulation controller 、 Electrical load 、 Torque 、 Control system 、 Computer science 、 Fuzzy control system 、 Control and Systems Engineering 、 Human-Computer Interaction 、 Electrical and Electronic Engineering 、 Control and Optimization 、 Computer Science Applications
摘要: Cerebellar model articulation controller (CMAC) and proportional derivative hybrid is widely used for torque control in electric load simulator. However, due to some uncertain factors especially the strong external interference of surplus torque, stability could not be guaranteed. Here, a novel semi-regularised semi-fuzzy CMAC proposed get an efficient effect. This study expands weight smoothing into semi-regularisation algorithm, proves system based on motor. To save storage space reduce computation, memory compressed mapping rule smooth output with high calculation speed. Both simulation experiment results demonstrate that this keep stable reach good loading accuracy.
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