Pendulum-like Oscillation Controller for UAV Based on Levy-flight Pigeon-inspired Optimization and LQR

被引：0
|
作者：
Liu, Zhuqing [1 ]
Duan, Haibin [1 ]
Yang, Yijun [1 ]
Hu, Xiaoguang [1 ]
机构：
[1] Beihang Univ BUAA, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
来源：
PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) | 2016年
基金：
中国国家自然科学基金;
关键词：
uninhabited aerial vehicles (UAVs); Levy-flight; pigeon-inspired optimization (PIO); pendulum-like oscillation; linear-quadratic regulator (LQR); VEHICLE;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method for parameter optimization of pendulum-like oscillation controller in uninhabited aerial vehicles (UAVs) is presented, which is named Levy-flight pigeon-inspired optimization (LFPIO) algorithm. The algorithm is based on Linear-quadratic Regulator (LQR), which help the controller with greater precision and better performance on feasibility, effectiveness and robustness. As a consequence, LFPIO can find the optimal value accurately and circumvent the premature convergence problems. Experimental results and conclusion are given by the performance of this new algorithm and compared with basic pigeon-inspired optimization (PIO), particle swarm optimization (PSO), particle swarm optimization and simulated annealing (SAPSO). The comparative results verify the effectiveness of LFPIO.
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页数：6
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