Multi-objective collaborative optimization control of course-keeping autopilot with rudder roll damping
In order to develop a simple PD controlled autopilot system with rudder roll damping,the course-keeping controller and rudder roll damping controller are optimized based on NSGA-Ⅱ with the minimum course error,roll angle and rudder consumption.Finally,simulation tests are done on non-linear ship model.The results indicate that the Pareto optimal set can represent the conditionality among the objectives.And the optimum solution achieve better course-keeping accuracy and roll reduction rate than empirical scheme at the cost of higher energy consumption.
course-keepingrudder roll damping (RRD)fast and elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ)multi-objective collaborative optimization(MCO)
NETL
NSTL
万方数据
维普
