Study On Control System Of Auto-Levelling Based On NIOS

Abstract: In the modern economy, science and technology to promote the development of modern warfare and the needs of traction this dual role, the rapid development of high-tech weaponry, military technology to detect high-tech war is an important factor in winning one of space technology and information technology the combination of a product. However, all military equipment to detect the use of the work must have a platform and platform to be able to work in different environments and conditions, with self-adjusting ability to self-balance, for detecting devices to provide a stable face. How to achieve precise control of the working platform, has become more and more important, the current automatic leveling system in most of the PLC, single-chip to control the core, synchronous motor for the means to achieve their goals.Based on the current PLC, single-chip automatic leveling system, PID control algorithms are algorithms, PID controller because of its simple structure, easy to achieve, and other characteristics of the actual industrial process is still widely used in a more effective control methods . But when the object was charged with the existence of non-linear and time-varying characteristics, traditional PID controller is often difficult to obtain satisfactory control. Neural network with its powerful capacity for integrated information solutions to complex control systems to provide a theoretical basis, but there is no corresponding hardware support, software programming through the use of serial methods to achieve control of neural networks is bound to lead to a low speed, it is difficult to ensure real-time control. Flexible structure of the FPGA, high universality, high speed, low power consumption, and use it to construct the neural network, the flexibility to achieve a variety of computing functions and learning rules, and short design cycle, the system speed and reliability. Through these methods of analysis, a NIOS-based auto-leveling control system of neurons adaptive PID control algorithm. The main ones are as follows:First of all papers from the perspective of the system, introduced a surveillance platform and take-off and landing of the hydraulic leveling control program, and then introduces the automatic level control system control unit design on the FPGA-based adaptive neural PID And the control algorithm to achieve; NIOS II research in the development of embedded technology on the basis of the study NIOS II soft-core embedded processors customizable features, hardware modules will be set to user-defined modules of the system by adding to the soft-core NIOS II Under the control of the operation, the better the system works to meet the design requirements of the reconnaissance platforms in order to achieve the precise control system operators to improve the speed and response time.Experiments show that: NIOS-based auto-leveling control system of neurons adaptive PID control algorithms, adaptive environment with the ability to calculate the amount of small, high-precision detection, reliable and practical advantages of the system significantly improved the speed and response time.