Exploring and Implementing Control Strategy of a Pressurizing Control System for Fast Buoyancy Escape
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摘要: 为解决大深度快速上浮脱险压力曲线控制问题,设计了一种基于模糊自适应PID控制算法的模拟脱险试验装置气加压系统。对快速加压系统进行了理论分析,采用AMESim+Simulink联合仿真平台进行数字建模。分析了不同控制策略、气动调节阀延迟、阀芯特性和压力测量误差对加压系统控制效果的影响。运用模糊自适应PID控制策略提高了控制系统的动态响应速度、控制精度和鲁棒性,并保持系统的稳定性。计算机仿真试验和模拟脱险装置实物验证试验结果证实了该控制策略的可行性和有效性。Abstract: In order to solve the pressure curve controlling problem in deep buoyancy escape, this paper designs the escape simulation and experimental device of a gas pressurizing control system based on the fuzzy adaptive Proportion Integration Differentiation (PID) control algorithm. It analyzes the fast pressurizing control system in theory, and establishes its digital model with the AMESim + Simulink co-simulation platform. It then describes how the following factors-including control strategies, delay and spool characteristics of the pneumatic regulation valve, pressure measurement errors-influence the control effect of the pressurizing control system. It improves its dynamic responding speed, control precision and robustness of the gas pressurizing control system with the fuzzy adaptive PID control strategy, thus maintaining the system stability. The simulation results and the experimental results on the escape simulation device show that the fuzzy adaptive PID control strategy is feasible and valid.
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[1] 李其修,刘辉,吴向君.快速上浮脱险技术研究现状[J].江苏船舶,2011,28(2):10-11,44 Li Q X, Liu H, Wu X J. Research situation of fast floating and escape technology[J]. Jiangsu Ship, 2011,28(2):10-11,44(in Chinese) [2] Hall D A, Summitt J K. Simulated deep submarine escape from 495 feet of sea water[R]. Groton:Naval Submarine Medical Research Lab, 1970 [3] 顾靖华,曾广会,杨健.外军潜艇脱险救生技术概况及发展趋势[J].舰船科学技术,2005,27(3):93-96 Gu J H, Zeng G H, Yang J. A review and development tendency of techniques and outfit in submarine escape or rescue[J]. Ship Science and Technology, 2005,27(3):93-96(in Chinese) [4] 方以群,王敏,陈伯华.潜艇艇员水下脱险技术[J].人民军医,2012,55(12):1193-1194 Fang Y Q, Wang M, Chen B H. Submarine crew underwater escape technology[J]. People's Military Surgeon, 2012,55(12):1193-1194(in Chinese) [5] Lo J K W, Tomlinson S P, Himmens I A, et al. Computer simulation to assess the performance of a submarine escape system[J]. Ocean Engineering, 1995,22(5):439-455 [6] 邢剑,黄俊杰.可编程控制器在潜艇快速上浮脱险装置中的应用[J].船电技术,2002,22(3):39-42 Xing J, Huang J J. Application of program logic computer in lifesaving breakout equipment[J]. Marine Electric & Electronic Technology, 2002,22(3):39-42(in Chinese) [7] 李绍安,李维嘉,曹和云.一种水下脱险快速加压装置的控制实现[J].液压与气动,2013,(7):17-19 Li S A, Li W J, Cao H Y. The control of a quick pressure device for underwater escape[J]. Chinese Hydraulics & Pneumatics, 2013,(7):17-19(in Chinese) [8] 刘建国,李维嘉,曹和云.一种水下脱险快速加压系统的控制策略研究及实现[J].中国机械工程,2014,25(16):2163-2166 Liu J G, Li W J, Cao H Y. Control strategy and implemention of a quick pressure device for underwater escape[J]. China Mechanical Engineering, 2014,25(16):2163-2166(in Chinese) [9] 杨云飞.基于PLC的自适应模糊-PID压力控制系统[J].微计算机信息,2007,23(25):89-90 Yang Y F. Self-adaptive Fuzzy-PID pressure control system based on PLC[J]. Microcomputer Information, 2007,23(25):89-90(in Chinese) [10] 刘汉忠,官元红.模糊PID自适应算法在流量压力控制系统中的应用[J].化工自动化及仪表,2011,38(5):567-569 Liu H Z, Guan Y H. Application of fuzzy PID adaptive algorithm in flow-pressure control system[J]. Control and Instruments in Chemical Industry, 2011,38(5):567-569(in Chinese) [11] 张泾周,杨伟静,李想.模糊自适应PID在高空模拟舱中压力控制的应用研究[J].工业仪表与自动化装置,2010,(1):21-24 Zhang J Z, Yang W J, Li X. Application research of fuzzy self-adaptive PID control in pressure control system of high-altilude simulation cabin[J]. Industrial Instrumentation & Automation, 2010,(1):21-24(in Chinese) [12] 张向南,周丽娟,李全俊.模糊自适应PID在气液增力缸压力控制中的应用[J].兵工自动化,2013,32(8):71-74 Zhang X N, Zhou L J, Li Q J. Application of adaptive fuzzy-PID for controlling of pressure in pneumatic-hydraulic intensifier[J]. Ordnance Industry Automation, 2013,32(8):71-74(in Chinese) [13] 韦兴平.自适应模糊PID技术在氟气加气站压力控制系统中的应用[J].机械工程与自动化,2010,(3):136-138 Wei X P. Self-adaptive fuzzy PID technology applied in pressure control system of fluoride gas station[J]. Mechanical Engineering & Automation, 2010,(3):136-138(in Chinese) [14] 石辛民,郝整清.模糊控制及其MATLAB仿真[M].北京:清华大学出版社,;北京交通大学出版社,2008 Shi X M, Hao Z Q. Fuzzy control and its MATLAB simulation[M]. Beijing:Tsinghua University Press; Beijing Jiaotong University Press, 2008(in Chinese) [15] 诸静.模糊控制原理与应用[M].北京:机械工业出版社,2005 Zhu J. Theory and application of fuzzy control[M]. Beijing:China Machine Press, 2005(in Chinese) [16] 王守唐,高东杰.一维模糊PID控制器的钝性稳定性分析[J].信息与控制,2002,31(1):51-54 Wang S T, Gao D J. Stability analysis of fuzzy PID controller with one-input[J]. Information and Control, 2002,31(1):51-54(in Chinese)
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