Control Algorithm And Performance Improvement For A Steering Engine System

Missile steering engine system is a high-precision servo system, which is an important component part of missile flight control system.Aimed at a certain type of missile steering engine which is composed by a small motor and a harmonic drive,the research goal of this topic is to design a kind of precise and real-time system which can control it fleetly. In order to improve the steering engine control system's dynamic, steady-state performance, system response speed and torque control accuracy, the following work is mainly completed in this paper:In order to improve the quality of control system and by the combination of advantages of genetic algorithm (GA) and conventional PID, a kind of intelligent control algorithm which is named PID control algorithm based on GA is designed. In the aspect of the input signal noise, we use the wavelet filter according to the characteristics of the noise, which improve the control performance, the static and dynamic response of steering engine system. A simulation model of the system is also setted up on the MATLAB/SIMULINK platform and the algorithms are validated by the model in order to verify the feasibility of algorithm.In the aspect of hardware system,we designe the DSP control system with CAN2.0 communication bus according to the characteristics of the steering engine system.In order to reduce the interference,their feedback channel and the main circuit board are separated from each other. To a certain extent, the input signal noise can be reduced in this way.Finally, on the basis of hardware and software simulation system, the algorithms program is writed into DSP. Communication bus uploads the real-time data of the steering engine into the computer, using MATLAB software to carry out the Off-line analysis and evaluate the steering engine system. The results show that the control system has good performance and established function and meet the requirement of the design specifications.