scholarly journals Adaptive Fuzzy Control of One Linear Actuator Hopping Robot

2003 ◽  
Vol 7 (2) ◽  
pp. 92-100
Author(s):  
Son Kuswadi ◽  
◽  
Mitsuji Sampei ◽  
Shigeki Nakaura ◽  
◽  
...  
Keyword(s):  
Fuzzy Control ◽  
State Feedback ◽  
Adaptive Fuzzy Control ◽  
Linear Actuator ◽  
Control Approach ◽  
Adaptive Fuzzy ◽  
Hopping Robot ◽  
Self Tuning ◽  
Servo Controller ◽  
Linearized Model

This work demonstrates the applicability of adaptive fuzzy control approach to control one linear actuator hopping robot. Our simple approach uses linearized model to design a state feedback servo controller. Afterward, by using fuzzy networks we developed self-tuning adaptive control to handle nonlinearity of the robot. The continuous hopping gait was realized by simulation.

The Research on Self-Adaptive Fuzzy PID Controller

2013 ◽  
Vol 373-375 ◽  
pp. 1462-1465
Author(s):  
Bin Liu ◽  
Gang Yao ◽  
Xiao Bing Xiao ◽  
Xu Sheng Yin
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Adaptive Fuzzy Control ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Self Tuning ◽  
Self Adaptive

The parameters of the traditional proportional-integral-derivative (PID) controller are hard to automatically adjust when the controlled object changes, which controls ineffective for time-varying, nonlinear system. Combine the fuzzy control and PID control, and use self-adaptive fuzzy control to achieve self-tuning PID parameters online. Using matlab simulation system, the results show that the self-adaptive fuzzy PID control effects have been improved than the conventional PID control.

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