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

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.