Title :
Fuzzy based Gains Tuning of PD controller for joint position control of AIT Leg Exoskeleton-I (ALEX-I)
Author :
Aphiratsakun, Narong ; Parnichkun, Manukid
Author_Institution :
Sch. of Eng. Technol., Asian Inst. of Technol., Pathumthanee
Abstract :
This paper is focused on designing of fuzzy based gains tuning of proportional-derivative (FTPD) controller for joints positions control of the Asian Institute of Technology´s leg exoskeleton-I (ALEX-I). The main objective of this research is to obtain the desired gait motion of the whole system. The gait data from simulation is used as the input (set point) of ALEX-I, this data is simulated based on body CM balancing criteria. Fuzzy logic controller applies five membership functions of error and rate of error, four KP and three KD singletons output gains are adjusted according with the defined fuzzy rules. The COGS defuzzification output is sent to ARM7 controllers which control all the system joints. The performance of FTPD controller is then compared with the conventional PD controller. The results show superior performance of FTPD in smaller position error, less percentage of power consumption and less oscillation of gait motion on ALEX-I.
Keywords :
PD control; artificial limbs; control system synthesis; fuzzy control; geriatrics; handicapped aids; medical robotics; position control; AIT leg exoskeleton-I; ALEX-I; ARM7 controller; Asian Institute of Technology; COGS defuzzification output; FTPD controller design; body CM balancing criteria; disabled person assistance; elderly person assistance; fuzzy logic controller; fuzzy rule; fuzzy-based gain tuning; gait motion; joint position control; membership function; power consumption; proportional-derivative controller; robotic prosthesis; Control systems; Energy consumption; Error correction; Fuzzy control; Fuzzy logic; Leg; PD control; Position control; Proportional control; Tuning; ALEX-I; Exoskeleton; Fuzzy Logic Control; Fuzzy based Gains Tuning of PD Controller (FTPD); PD Control;
Conference_Titel :
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2678-2
Electronic_ISBN :
978-1-4244-2679-9
DOI :
10.1109/ROBIO.2009.4913112