PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM)

2019 ◽  
Vol 6 (0) ◽  
Author(s):  
Dwi Pebranti ◽  
Luhur Bayuaji ◽  
Yogesvaran Arumgam ◽  
Indra Riyanto ◽  
Muhammad Syafrullah ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Pid Controller ◽  
Controller Design ◽  
Bat Algorithm ◽  
Pid Controller Design

PID Controller Design for Mobile Robot Using Bat Algorithm with Mutation (BAM)

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Dwi Pebranti ◽  
Luhur Bayuaji ◽  
Yogesvaran Arumgam ◽  
Indra Riyanto ◽  
Muhammad Syafrullah ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Pid Controller ◽  
Controller Design ◽  
Bat Algorithm ◽  
Pid Controller Design

BP Neural Network for Mobile Robot Self-Tuning PID Controller Design

2014 ◽  
Vol 898 ◽  
pp. 755-758 ◽  
Author(s):  
Wei Li ◽  
Jian Fang
Keyword(s):  
Neural Network ◽  
Mobile Robot ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Controller Design ◽  
System Stability ◽  
Stabilization Control ◽  
Pid Controller Design ◽  
Self Tuning ◽  
Attitude Model

Establish the attitude model for self-designed mobile robot, According to the characteristics of nonlinear, unstable, using BP neural network method to achieve self-tuning PID parameters to make optimal parameters of the PID controller. Stabilization control of two-wheeled self-balanced robots at the same time, decrease the overshoot of the system and the number of shocks. Simulation experiments show that: Using BP neural network self-tuning PID controller improves system stability, effectiveness has been well controlled, with high practical value

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