Single Neuron PID Control for Electro-Hydraulic Servo Unit of Ship Rudder
|School||Harbin Institute of Technology|
|Course||Fluid Machinery and Engineering|
|Keywords||Autopilot Electro-hydraulic control unit Neuron PID controller System simulation|
The automatic steering of ship also known as the autopilot, the movement control of the ship is of special importance in a system to keep the ship in a given course or track on the voyage, which is the manipulation of key equipment. As the marine vessel to transport the large, highly automated, high-speed development of the automatic steering gear requirements will increasingly high, so are generally used electro-hydraulic servo control system. Electro-hydraulic servo steering gear due to a power density than the big, fast response, high sensitivity advantages, which have been widely used. Electro-hydraulic servo control unit is the core of the entire steering gear components, the merits of their performance is directly related to the rudder systems of performance. Sailing ships at sea, the inevitable subject to wind, wave and flow of attacks, due to the complexity of the ship movements and the uncertainty of outside interference, which requires electro-hydraulic control unit must not only fast response, high accuracy, but also must have strong adaptability and robustness.This paper analyses the electro-hydraulic servo steering gear control unit of the structure and working principle of electro-hydraulic servo control unit through the various components part of the principle, established a system of mathematical model. After the stability of the system were found. According to the simulation analysis and experimental study on electro-hydraulic control unit, verify the accuracy of the mathematical model. At the same time the impact of rapid system of tracking and error dynamic performance indicators such as the main factors were discussed.In order to improve the dynamic performance, based on neural network a single neuron adaptive PID controller to control the system were designed, enter a different signal through the system simulation. The simulation results show that this paper by the intelligent controller design is simple and easy to implement, in addition to effectively improve the speed and precision control, but also has strong self-learning and adaptive capacity, the external environment is strong Robust and has good value.