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Design of Control System for Weapon Parallelism Calibration Device

Author: ZhangShiQiang
Tutor: SanYe
School: Harbin Institute of Technology
Course: Control Engineering
Keywords: Parallelism calibration Servo System Friction compensation Sliding Mode Control RBF neural network
Type: Master's thesis
Year: 2011
Downloads: 45
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The weapons barrel the aiming axis parallel arms fire performance is of great significance , parallelism calibration device is used to detect weapons systems barrel aiming axis parallel . The drive to achieve said parallel calibration device using small diameter collimator be servo system design and reliable performance of the servo system for the realization of the apparatus has important significance . The main contents are as follows: First, the overall design of the calibration device of parallelism , including mirror structures translational servo system and turn the servo system in two parts . According to the performance requirements of the device , the mechanical structure of the system , control system hardware requirements analysis and design . Secondly, a mirror mechanism of the rotation servo system model . Affect the servo system control performance factors , detailed analysis of the nonlinear friction control performance of the servo system , and Stribeck friction model , the establishment of the non-linear model of the servo system . Finally, explore the sliding mode control , sliding mode control system uncertainties robustness and immunity . Friction nonlinear equivalent sliding mode control method to suppress . Buffeting problem for the sliding mode control , this paper uses the RBF neural network approach to sliding mode control is canceled toggle items , but at the same time retain the sliding mode immunity . Friction nonlinear servo system performance through simulation , PID control, sliding mode control and neural network sliding mode control control performance analysis and comparison of the effectiveness of the controller is verified .

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CLC: > Industrial Technology > Arms industry > General issues > Testing technology and facilities
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