Gun Servo Research Articles

Research on Mathematical Modeling of Naval Gun Servo System

Abstract Tracking performance of naval gun servo system is very important to the whole combat function of naval gun weapon system. Therefore, it is very important to construct accurate mathematical model to improve the performance of servo system. This paper analyzed the structure of naval gun servo system in detail and established the transfer function of each component according to its working principle. Finally, the complete mathematical model of naval gun servo system is established through the organic combination of all parts. Then the stability of the mathematical model of naval gun servo system is judged by Rouse criterion. When the original servo system is unstable, it is necessary to modify the model of servo system by designing lead-lag correction to achieve stable control of the servo system, which lays a foundation for further research on control performance optimization based on mathematical model of naval gun servo system.

Application research of gun servo system based on Stribeck friction model

The gun servo system has strong friction resistance moment. The traditional solution is to reduce the influence of friction disturbance on system control through speed closed-loop. The disadvantage of this method is that the control accuracy of the system is not high due to the lag effect of feedback. To solve this problem, based on the analysis of the composition and working principle of the gun servo system, the friction data of the servo system is obtained through the test, the Stribeck friction model of the system is identified by the method of curve fitting, and the disturbance of the friction torque is compensated and controlled by the control method of feedforward compensation based on disturbance. The simulation results show that this method has good compensation and control ability for the disturbance of friction resistance moment. After using this method, the dynamic tracking accuracy and control performance of the system are greatly improved.

Application of Fuzzy Adaptive Control in Gun Servo System

Friction torque is an important parameter affecting the servo system, which will decrease with the increase of service time. With the change of friction torque, the control characteristics of the servo system will change, resulting in the servo dynamic and static performance can not meet the system requirements. On the basis of expounding the composition and working principle of gun pitching servo system, a control method of gun servo system based on fuzzy adaptive control is proposed. The problem of system performance change caused by the change of servo system parameters is solved. Through MATLAB simulation, it shows that the method can eliminate the influence of friction torque change on the system, make the system insensitive to the change of torque parameters, and meet the use requirements under various parameter conditions.

PID Parameter Tuning of Self-propelled Antiaircraft Gun Servo System Based on Differential Evolution Algorithm

PID Parameter Tuning of Self-propelled Antiaircraft Gun Servo System Based on Differential Evolution Algorithm

Adaptive Iterative Learning Control for Tank Gun Servo Systems With Input Deadzone

In this paper, an adaptive iterative learning control scheme is proposed to solve the trajectory-tracking problem for tank gun servo systems with input deadzone and arbitrary initial states. A time-varying boundary layer is constructed to deal with the nonzero initial error during the iterative learning controller design. Neural network control and robust control are jointly used to compensate uncertainties and deadzone nonlinearity. The ideal weight of neural network and the upper bound of noncontinuous uncertainties are estimated by using difference learning method. As the iteration number increases, the filtering error can converge to the time-varying boundary layer. All signal are guaranteed to be bounded. A simulation example is presented to verify the effectiveness of the proposed scheme.

Mechanical resonance suppression method of Naval Gun servo control system based on Notch Filter

The naval gun servo system requires high dynamic tracking accuracy. In addition, the resonance point of the system changes at any time due to the influence of sea weather and wind waves. Therefore, the traditional off-line detection method of resonance point is not suitable for naval gun servo system. According to the characteristics of naval gun servo system, an on-line resonance suppression method based on notch filter is designed in this paper. The resonance frequency point is detected by fast Fourier transform, and then the notch filter is adjusted on-line parameters. The simulation results show that this method can suppress the resonance problem of naval gun servo system on line.

The Application and Study of CLIPS in Fault Diagnosis of Self-Propelled Gun Servo System

This paper briefly recommends the conception and syntax construction of the expert system language – CLIPS. Aim at fault happening mode, the paper build up fault analysis model of certain self-propelled gun servo system with CLIPS, compiled knowledge base and reasoning engine, realized embedded programming of CLIPS, and illuminated the application of CLIPS in fault diagnosis of self-propelled gun servo system.

Control Precision Test Equipment Design of an Anti-Aircraft Gun Servo System

Control precision of the anti-aircraft gun servo system related directly to the artillery firing accuracy, and it is a very important item in performance test of the fire control system. In order to test the control precision of an anti-aircraft gun servo system and correct the firing data, the shaft angle conversion circuit and digital signal interface circuit are designed based on the industrial computer platform and the data acquisition module of PCI bus. In that way, software arithmetic of shaft angle conversion based on the general A/D is realized. In the practical application the arithmetic has a good performance.

포 구동시스템에 대한 모드 스위칭 제어기 설계

To meet an increasing demand for high performance in gun dynamic plant, both a precise and a fast response positioning are strongly required for the gun servo system. A mode switching control(MSC) scheme, which includes a fine stabilizing controller, fast positioning one and a switching function, is widely used to meet this requirement. Stabilization is performed through PID controller, while a time optimal control method is used for target designation. In this paper, a modified PTOS(Proximate Time Optimal Servomechanism) algorithm is derived so as to accommodate the damping term in the gun plant model. Also, applying a mode switching strategy, the bumpless transfer is made possible when the controller switches from PTOS to PID. To show the effectiveness of the overall control system, simulation results are given including the gun dynamics.

Application of Fuzzy Query Approach to the Fault Diagnosis of an Antiaircraft Gun's Servo system

Based on the theory of fuzzy recognition and fault diagnosis, this method only depends on experience and statistical data to set up fuzzy query relationship between the outside phenomena (fault characters) and the fault sources (fault patterns). From this relationship we can obtain the most possible fault sources, so that we can reach the goal of quick diagnosis.

Startup performance of the traveling wave versus standing wave linear accelerator

The startup performance of medical linear accelerators is of increasing importance for modern radiotherapy techniques. The traveling wave-type linear accelerator of the SL series of Philips (now Elekta Oncology Systems) has been modified in its flight tube design to meet this goal of a fast rise time of the radiation field. The new slitless flight tube combined with a redesigned gun servo electronic now achieves start up times of the radiation comparable with those of a standing wave linear accelerator (Siemens Mevatron) according to our measurements.