Performance Comparison between Fuzzy Logic Controller (FLC) and PID Controller for a Highly Nonlinear Two-Wheels Balancing Robot
Ahmad Nor Kasruddin Nasir, Mohd Ashraf Ahmad, Riduwan Ghazali, Nasrul Salim Pakheri
- 发表年份
- 2011
- 引用次数
- 28
摘要
The research on two-wheels balancing robot has gained momentum due to their functionality and reliability when completing certain tasks. This paper presents investigations into the performance comparison of Fuzzy Logic Controller (FLC) and PID controller for a highly nonlinear 2 -- wheels balancing robot. The mathematical model of 2-wheels balancing robot that is highly nonlinear is derived. The final model suffers from mismatched condition. Two system responses namely the robot position and robot angular position are obtained. The performances of the FLC and PID controllers are examined in terms of input tracking capability. Simulation results of the responses of the nonlinear 2 -- wheels balancing robot are presented in time domain. A comparative assessment of both control schemes to the system performance is presented and discussed.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991