NSSCA-PID Control for Leveling System of UAV Launching Platform

PID controller is an efficient approach to realize the adaptive leveling for UAV(Unmanned Aerial Vehicle) launching platform in complex environment, the performance of which is relied on the quality of parameter tuning. Aiming at tuning parameters of PID controller, a Neighborhood Searching Sine Cosine Algorithm (NSSCA) embedded by boundary buffering is proposed in the context of classical Sine Cosine Algorithm (SCA) in this paper. With unit step signal as the input, the rising time, adjustment time and the maximum overshooting of the leveling system under the control of Neighborhood Searching Sine Cosine Algorithm optimized PID are 0.04 s, 0.106 s and 5.44%, respectively. It indicates the parameters of PID controller tuned by Neighborhood Searching Sine Cosine Algorithm achieve a more satisfied performance than that tuned by Z-N method, Generic Algorithm, Grey Wolf Optimization and classical Sine Cosine Algorithm.