Co-simulation research of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms. (January 2015)
- Record Type:
- Journal Article
- Title:
- Co-simulation research of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms. (January 2015)
- Main Title:
- Co-simulation research of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms
- Authors:
- Pan, Dalei
Gao, Feng
Miao, Yunjie
Cao, Rui - Abstract:
- Highlights: A novel lower extremity exoskeleton with series–parallel topology is presented. The humanoid gait characteristics decide that the control algorithm should be intelligent. A switch-typed and parameter self-tuning fuzzy-PID/PID controller is presented. Level walking, stair ascent, stair descent, side kick, squatting down and standing up co-simulations are presented. Simulation results show that the fuzzy-PID/PID controllers have great control performances. Abstract: Legged exoskeletons supplement human intelligence with the strength and endurance of a pair of wearable mechanical legs that support heavy loads. The exoskeleton-type system is a nonlinear system with uncertainty of parameters, which is not easy to be identified with traditional mathematical model. This paper presents co-simulations of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms, which do not need the precise model. The lower extremity exoskeleton model with series–parallel topology was briefly described and the gait characteristics were analyzed. The co-simulation method integrates ADAMS and MATLAB/SIMULINK with fuzzy-PID/PID algorithms, which were used to develop the control schematic of the exoskeleton-human robot system. Finally, co-simulations of humanoid gaits and movements, which include level walking, stair ascent, stair descent, side kick, squatting down and standing up, were provided to confirm the performances and effectiveness of the proposedHighlights: A novel lower extremity exoskeleton with series–parallel topology is presented. The humanoid gait characteristics decide that the control algorithm should be intelligent. A switch-typed and parameter self-tuning fuzzy-PID/PID controller is presented. Level walking, stair ascent, stair descent, side kick, squatting down and standing up co-simulations are presented. Simulation results show that the fuzzy-PID/PID controllers have great control performances. Abstract: Legged exoskeletons supplement human intelligence with the strength and endurance of a pair of wearable mechanical legs that support heavy loads. The exoskeleton-type system is a nonlinear system with uncertainty of parameters, which is not easy to be identified with traditional mathematical model. This paper presents co-simulations of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms, which do not need the precise model. The lower extremity exoskeleton model with series–parallel topology was briefly described and the gait characteristics were analyzed. The co-simulation method integrates ADAMS and MATLAB/SIMULINK with fuzzy-PID/PID algorithms, which were used to develop the control schematic of the exoskeleton-human robot system. Finally, co-simulations of humanoid gaits and movements, which include level walking, stair ascent, stair descent, side kick, squatting down and standing up, were provided to confirm the performances and effectiveness of the proposed control approach. … (more)
- Is Part Of:
- Advances in engineering software. Volume 79(2015)
- Journal:
- Advances in engineering software
- Issue:
- Volume 79(2015)
- Issue Display:
- Volume 79, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 79
- Issue:
- 2015
- Issue Sort Value:
- 2015-0079-2015-0000
- Page Start:
- 36
- Page End:
- 46
- Publication Date:
- 2015-01
- Subjects:
- Lower extremity exoskeleton -- Wearable robotics -- Humanoid gaits -- Fuzzy algorithm -- Co-simulation -- Series–parallel mechanism
Computer-aided engineering -- Periodicals
Engineering -- Computer programs -- Periodicals
Engineering -- Software -- Periodicals
Periodicals
620.0028553 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09659978 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.advengsoft.2014.09.005 ↗
- Languages:
- English
- ISSNs:
- 0965-9978
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0705.450000
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British Library HMNTS - ELD Digital store - Ingest File:
- 7296.xml