Optimization on motion-robust and energy-saving controller for hydraulic penetration system of seabed equipment

Author(s):  
Gang Xue ◽  
Yanjun Liu ◽  
Lei Guo ◽  
Baohua Liu

Deep-sea Cone Penetration Test equipment (CPT) and In-Situ Sediment Acoustic Measurement System (ISSAMS) driven by hydraulic penetration system are the important equipment for in-situ detection of seabed sediment. The problems, such as poor position following precision and weak load disturbance rejection performance of the actuator in the hydraulic penetration system are common in the working process of deep-sea CPT and ISSAMS. In this paper, the self-developed deep-sea ISSAMS is taken as the example and various hydraulic penetration system models are established. Most importantly, an optimized control scheme, the fuzzy adaptive PID control scheme with pre-optimization based on genetic algorithm, is presented. To compare with the switch valve controlled hydraulic system used in the ISSAMS physical prototype, the PID control scheme and the fuzzy adaptive PID control scheme are designed as well. It shows that the proportional valve controlled hydraulic system has better position following precision and load disturbance rejection performance than the switch valve controlled hydraulic system and the pump controlled hydraulic system, with more than 95% improvement. The optimized control scheme will further improve the motion-robust performance. Besides, the energy conservation problem is discussed by comparing power requirement and energy consumption of different hydraulic system model and different control scheme. It shows that the pump controlled hydraulic system with the optimized control scheme is the most energy-efficient combination. This paper will have certain reference value to hydraulic penetration system design and motion controller design for deep-sea CPT and ISSAMS equipment.

Author(s):  
Lijie Yang ◽  
Guimei Wang ◽  
Huadong Zhang ◽  
Jiehui Liu ◽  
Yachun Zhang

A special ceramic roller bearing press (SCRBP) is developed to press two bearings efficiently and precisely at the same time. A speed control mathematical model of the bearing press is built to obtain stability bearing pressing speed. The fuzzy adaptive PID controller of the bearing pressing speed of SCRBP is designed. The simulation model is also built. Fuzzy adaptive PID control is compared with conventional PID control. By simulation analysis, the simulation results show that adjusting time of fuzzy adaptive PID control is short, and its overshoot is very small, almost coincides with the set pressing speed. Moreover, fuzzy adaptive PID is suitable for the pressing speed control of the bearing pressing speed system with step interference signal. The pressing stability speed is obtained by fuzzy adaptive PID control.


2017 ◽  
Vol 354 (4) ◽  
pp. 1741-1758 ◽  
Author(s):  
Raaja Ganapathy Subramanian ◽  
Vinodh Kumar Elumalai ◽  
Selvakumar Karuppusamy ◽  
Vamsi Krishna Canchi

2009 ◽  
Vol 60-61 ◽  
pp. 207-212
Author(s):  
Jia Chou Wang ◽  
Wei Bin Rong ◽  
Li Ning Sun ◽  
Xin Xin Li

An integrated micro xy-stage is designed and fabricated for application in nanometer-scale operation and nanometric positioning precision. This device integrates the functions of both actuating and sensing in the same silicon ship and is mainly composed of a silicon-based xy-stage, electrostatics comb actuator and a displacement sensor. In this paper a robust control strategy based on single neuron adaptive PID control theory is developed for silicon-based xy-stage, considering electrical, mechanical, and stiffness models. Single neuron adaptive PID control enables compact realization of a robust controller tolerant of device characteristics variation, types of inherent instabilities, and improving dynamical characteristics. The experimental results verified that the controller is more suitable for the silicon integrated micro xy-stage, under which the settling time is less than 2.5ms and the repeatability error is better than ±24.9nm. In addition, the presented control scheme is simple to implement in practical application.


2013 ◽  
Vol 397-400 ◽  
pp. 1064-1068
Author(s):  
Yong Zhang ◽  
Yuan Yao ◽  
Ting Luan

Optimal control of the boiler combustion system is related to the economy and stability of the entire production process. To the problem that the boiler main product steam quality and the safe operation of the boiler optimization control, the fuzzy adaptive algorithm combined with the traditional PID control in the DCS system is proposed. The method optimizes the control system parameters and improves the control program. The simulation results show that the control scheme is better than the traditional PID control, and has good dynamic performance and stability. Both the boiler outlet steam quality and the security operation of boiler are improved.


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