Design Of Temperature Control System For FOG Based On Dahlin Algorithm

The fiber optic gyroscope has excellent features, such as long life, fast start, wide dynamic range, small size and light weight, making the FOG be widely used in the field of ship inertial navigation. However, when used in a practical application, the FOG is easily affected by environmental factors such as temperature so that causing larger output error. To solve the problem, the usual method is designing the temperature control system used to provide an ideal working environment temperature for the FOG, consequently ensuring the output precision of the FOG. Therefore, the research on the FOG temperature control system control algorithm has important practical significance and application value, for reducing the impact on the FOG by ambient temperature, improving the precision of the strapdown inertial navigation system and extending the service life of system.The subject makes realizing accurate control of FOG temperature control system as the goal, aiming at the FOG temperature control system, the Dahlin control algorithm is designed to precisely amend the temperature controlled quantity, and improve the stability and real-time performance of the temperature control, and reduce the overshoot and steady-state error of the temperature system. The subject proposes the control scheme based on Dahlin controller by analysising deeply all kinds of classical control methods and intelligent control methods and comparing the advantages and disadvantages of various methods. Dahlin controller aiming at temperature control system the typical time-delay system, can get the controller which meets the closed-loop response of temperature control system, by designing the temperature control system closed loop transfer function as the pure delay link with first-order inertia link. In the realization process of the Dahlin controller, first propose the method of establishing the FOG temperature control system model, and verify the correctness of the builded temperature control system mathematical mathematical model by the method of data fitting. Then, aiming at temperature control system mathematical model, propose the identification method based on BP neural network and study the learning algorithm of BP network. Finally, aiming at the builded temperature control system mathematical model,propose the temperature control system parameter identification technique based on BP neural network. The exact values of temperature control system model parameter can be obtained by identification technique, which are used to the designed Dahlin controller meeting the control requirements, to realize the effective control of the FOG temperature control system.The designed controller and control algorithm need to be tested and verified in the hardware carrier, and then applied to the actual FOG temperature control system. When designing the temperature control system hardware circuit, use DSP (Digital Signal Processor)as the system core controller. The DSP has a lot of advantages comparing with other microprocessors when handling analog signals, such as performing specifically in high precision,flexibility,good reliability, easily large-scale integration, etc. Then, design a complete temperature control hardware circuitry including temperature acquisition circuit,temperature data processing circuit and temperature control circuit.Finally, the FOG temperature control system as the carrier, the effectiveness of Dahlin control algorithm in actual control can be verified by using the high and low temperature box to provide a stable test environment for FOG.