中国人民解放军 海军蚌埠士官学校是全军创办最早的士官院校之一，1986年11月1日,中国人民解放军海军蚌埠士官学校在原海军第二航空机务学校的基础上宣告成立。学校位于安徽省蚌埠市高新技术开发区，是一所具备军事高等职业教育能力，以培养海军水面舰艇和作战保障勤务专业士官为主，学历教育和岗位任职教育并举的综合性士官学校，被誉为“海军士官的摇篮”。现编制等级为正师级。 2011年正式提升为 中国人民解放军 海军蚌埠士官学院。
ObjectiveAiming at typical application scenarios in which underwater vehicles perform search tasks such as preemptive submarine harassment and patrol hunting in a target sea area, this paper explores methods for achieving efficient and seamless coverage search in unknown waters under the conditions of no prior information and being constrained by detection capabilities.MethodBy establishing a mathematical model for search path planning in unknown waters and designing a heuristic solution method based on two-stage planning for the random search strategy, the efficiency results of various search strategies in different shaped waters are obtained.ResultsIn rectangular waters, parallel search or spiral search has the highest efficiency, and zigzag search strategy has the lowest efficiency; in circular waters, spiral search has the highest efficiency; in irregular waters, parallel search, zigzag search and spiral search cannot be directly applied, and random search can find near-optimal solutions without approximating the waters.Conclusions The established mathematical model satisfies conditions such as "full coverage of unknown waters" and "completing the search in the shortest time". The designed random search two-stage planning model algorithm can plan a random search route that meets the full coverage requirements for any irregularly connected waters without discretizing the physical space of the battlefield, constraints, and decision variables.
ObjectivesIt is difficult to control the drum water level of a supercharged boiler due to the strong load disturbance in the sailing process. In order to ensure the stability of the drum water level, it is necessary to study drum water level control methods under strong load disturbance. To this end, this paper proposes a sliding mode controller with an improved adaptive genetic algorithm (AGA). MethodsThe velocity and accelerated speed of the drum water level error is combined with an S-function to design a sliding mode controller. Its stability is then proven using the Lyapunov stability theorem. On this basis, the sliding mode controller parameters are optimized with the improved AGA. ResultsThe control performance of the sliding mode controller with improved AGA is compared with that of a PID controller. In response to ramp disturbance signals and step disturbance signals, the sliding mode controller with improved AGA can track the input signal without error. Its stability time is 5 s shorter than that of the PID and its overshoot is lower than that of the PID. ConclusionsThe simulation results show that the sliding mode controller with improved AGA is superior to the PID controller.
