NDLI: Semi-fuzzy CMAC and PD hybrid controller with compressed memory and semi-regularisation for electric load simulator

Content Provider	IET Digital Library
Author	Gu, Nanhao Yang, Bo
Abstract	Cerebellar model articulation controller (CMAC) and proportional derivative hybrid controller is widely used for torque control in electric load simulator. However, due to some uncertain factors and especially the strong external interference of the surplus torque, the control stability could not be guaranteed. Here, a novel semi-regularised semi-fuzzy CMAC is proposed to get an efficient control effect. This study expands the weight smoothing into a semi-regularisation algorithm, and proves the stability of the hybrid control system based on the stability of the torque motor. To save storage space and reduce computation, the memory space is compressed and a semi-fuzzy mapping rule is proposed to smooth the output of CMAC with a high calculation speed. Both of simulation and experiment results demonstrate that this novel controller could keep stable and reach a good loading accuracy.
Starting Page	3065
Ending Page	3074
Page Count	10
ISSN	17518644
Volume Number	13
e-ISSN	17518652
Issue Number	Issue 18, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/13/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.6411
Journal	IET Control Theory & Applications
Publisher Date	2019-09-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cerebellar Model Arithmetic Computers Cerebellar Model Articulation Controller Combinatorial Mathematics Compressed Memory Control Stability Efficient Control Effect Electric Load Simulator Fuzzy Control Fuzzy Set Theory Hybrid Control System Hydraulic And Pneumatic Control Equipment Mechanical Variables Control Memory Space Neurocontrol Neurocontrollers Novel Semiregularised Semifuzzy CMAC PD Hybrid Controller Pneumatic Control Equipment Proportional Derivative Hybrid Controller Semifuzzy Mapping Rule Semiregularisation Algorithm Stability Stability in Control Theory Strong External Interference Torque Control Torque Motor Uncertain Factors
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Robust Hybrid Control Based on PD and Novel CMAC With Improved Architecture and Learning Scheme for Electric Load Simulator

A CMAC-PD compound torque controller with fast learning capacity and improved output smoothness for electric load simulator

A CMAC Based Self-Tuning Intelligent PID Controller for Electric Load Simulator

A loading control strategy for electric load simulator based on new mapping approach and fuzzy inference in Cerebellar Model Articulation Controller

A CMAC-PD compound torque controller with fast learning capacity and improved output smoothness for electric load simulator

Information fusion fault diagnosis method for unmanned underwater vehicle thrusters

Fuzzy cerebellar model articulation controller-based adaptive tracking control for load-carrying exoskeleton

Hybrid adaptive CMAC sliding mode controller design for unknown nonlinear system

A neurocontrol scheme of a 2-dof manipulator using cmac.

Semi-fuzzy CMAC and PD hybrid controller with compressed memory and semi-regularisation for electric load simulator

Similar Documents

Robust Hybrid Control Based on PD and Novel CMAC With Improved Architecture and Learning Scheme for Electric Load Simulator

A CMAC-PD compound torque controller with fast learning capacity and improved output smoothness for electric load simulator

A CMAC Based Self-Tuning Intelligent PID Controller for Electric Load Simulator

A loading control strategy for electric load simulator based on new mapping approach and fuzzy inference in Cerebellar Model Articulation Controller

A CMAC-PD compound torque controller with fast learning capacity and improved output smoothness for electric load simulator

Information fusion fault diagnosis method for unmanned underwater vehicle thrusters

Fuzzy cerebellar model articulation controller-based adaptive tracking control for load-carrying exoskeleton

Hybrid adaptive CMAC sliding mode controller design for unknown nonlinear system

A neurocontrol scheme of a 2-dof manipulator using cmac.

Semi-fuzzy CMAC and PD hybrid controller with compressed memory and semi-regularisation for electric load simulator