Paper Info
Title
Intelligent algorithm tuning PID method of function electrical stimulation using knee joint angle.
Abstract
Functional electrical stimulation (FES) could restore motor functions for individuals with spinal cord injury (SCI). By applying electric current pulses, FES system could produce muscle contractions, generate joint torques, and thus, achieve joint movements automatically. Since the muscle system is highly nonlinear and time-varying, feedback control is quite necessary for precision control of the preset action. In the present study, we applied two methods (Proportional Integral Derivative (PID) controller based on Back Propagation (BP) neural network and that based on Genetic Algorithm (GA)), to control the knee joint angle for the FES system, while the traditional Ziegler-Nichols method was used in the control group for comparison. They were tested using a muscle model of the quadriceps. The results showed that intelligent algorithm tuning PID controller displayed superior performance than classic Ziegler-Nichols method with constant parameters. More particularly, PID controller tuned by BP neural network was superior on controlling precision to make the feedback signal track the desired trajectory whose error was less than 1.2°±0.16°, while GA-PID controller, seeking the optimal parameters from multipoint simultaneity, resulted in shortened delay in the response. Both strategies showed promise in application of intelligent algorithm tuning PID methods in FES system.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944145
EMBC
Keywords
Field
DocType
biomechanics,medical control systems,bioelectric potentials,motor function restoration,intelligent control,neurophysiology,knee joint torques,muscle contractions,backpropagation neural network,injuries,backpropagation,ziegler-nichols method,spinal cord injury,functional electrical stimulation,feedback,feedback control,genetic algorithm,genetic algorithms,intelligent algorithm tuning pid controller,recurrent neural nets,proportional integral derivative controller,knee joint angle,electric current pulses,muscle,three-term control,patient treatment,knee joint movements
PID controller,Computer science,Simulation,Control engineering,Knee Joint
Conference
Volume
ISSN
Citations 
2014
1557-170X
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Shuang Qiu1223.31
Feng He2169.45
Jiabei Tang313.42
Jiapeng Xu462.46
Lixin Zhang521.73
Xin Zhao664.16
Hongzhi Qi721.05
Peng Zhou8136.25
Xiaoman Cheng901.35
Baikun Wan1000.34
Dong Ming1110551.47