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The trawler winch is a main winching tool in the fishing operation of trawler. The disturbing influence of various factors such as sea wind and waves, change in the size of the catch and the turning of the fishing vessel during the operation of the trawler will cause unbalanced force on the wire rope of the two winches, which will easily cause the deformation and damage of the fishing net facilities and directly affect the improvement of the fishing yield and increase the harvest. In order to compensate for the change of the tension of the winch tractor during the operation of the trawler, the change of the load tension caused by the wave, or the rotation direction of the fishing vessel, and to ensure the good shape of the net opening, an electro-hydraulic control technology was used to design an automatic trawler tension controller. The tension control method of the trawler is investigated. The tension sensor is used as the input information of the electrical signal of the trawler's left and right trawler, which is measured indirectly and transmitted to the controller for logical operation, and the output torque of the hydraulic motor is changed by controlling the pilot overflow, which drives the trawler winch to adjust the tension of the left and right trawler to achieve the dynamic balance of the control system. In order to solve the problem of the tension of the trawl and the influence of the length change on the trawl, we designed an intelligent control system combining PLC control system and hydraulic system and used AMEsim hydraulic simulation software system to model and simulate it, the results show that without PLC control the torque of hydraulic motor 1 is 2387.7NM, the torque of hydraulic motor 9 is 2148.64NM the difference is 239.06 NM uneven force on both sides of the trailing platform, after adding PLC adjustment torque is obviously controlled torque to maintain about 2300NM, within a certain range to play a reliable adjustment effect.

This paper introduces the rapid automatic control module of trawler based on the hydraulic system of ‘Zhejiang fishery scientific research ship No.2’.The hydraulic simulation model of double motor winch system is built in AMESim software, and SIMULINK module in MATLAB software designed closed loop fuzzy PID controller for hydraulic system simulation. through fuzzy PID control technology drives the hydraulic winch to quickly adjust the tension of the traction, maintain the stable balance of the traction force, maintain the optimization of network horizontal expansion, not only improve the fishing efficiency, but also timely and effective protection mesh. the technical achievements formed by the research will enable small and medium-sized trawlers to adjust the tension under various working conditions through the fuzzy PID control system to stabilize the opening shape of the trawl, so as to improve the automation level and fishing efficiency of related trawling equipment, and provide technical support for precision fishing.

Based on improved A* algorithm, this paper proposes the optimal path planning of robot fish in globally known environment, so as to achieve better coordination between the robot fish by means of improving their path planning. In the known obstacle environment which is rasterized, target nodes are generated via smoothing A* algorithm. The unnecessary connection points are removed then and the path is smoothed at the turning points. That improved algorithm, in combination with distributed scroll algorithms, is applied to multi-robot path planning in an effort to optimize the path with the avoidance of collision. The experimental results on the 2D simulation platform have verified the feasibility of that method.

Fergana Basin, Central Asia's oldest oil and gas exploration area, reached an output of approximately 1.5 million tons per year in 1950s.【1,2】. Even after years of exploration and development, there is still a great resource potential【3】The exploration of block A in the south of the Fergana basin was started in 1930s suspended when the USSR collapsed. It was resumed in 2011 after it was acquired by company Z. There are some problems for the log interpretation such as the lack of related data, the low formation pressure caused by excessive exploration,. These problems cause the decline in terms of similarity between the log interpretation and the testing data. Based on the above issues, this paper studies the analysis of the problems and put forward reasonable proposals to the next step of the work to provide a sound basis for further exploration.

In considering transmissibility of force and the output force of actuator, the transfer function was got between input excitations and out performance. Adopting different feedback control variable as velocity, force, full state etc, the H2 optimal control was applied to double layer isolation system. By analyzing the amplitude-frequency characteristics of transfer function, comparing the advantages and disadvantages of various feedback control strategy, the best control method of H2 is determined.

The active vibration control system are described in this paper, and the controller was designed for the active control system, the controller is based on ARM Cortex M3 microcontroller core, ICP series acceleration sensor is use for signal acquisition module, the A / D converter module was designed based on ADS1158 chip, the D/ A converter module was designed based on DAC8564 chip. The controller has the characteristics of high speed and versatility.

Synthesized considering several performance target, robust optimal control was applied to uncertain double layer vibration isolation system then the transfer function was got between input disturbance and out performance. By analyzing the amplitude-frequency characteristics of transfer function, the result show that the robust LQ control can successfully improve the isolation performance of uncertain hybrid vibration isolation system, realize the multi-objective optimization.