Vibration Active Control Algorithm Of Piezoelectric Smart Structures Based DSP

Striking military targets precisely, reducing the damage of non-military targets and reducing casualties of civilian maximize is the requirement of today's war. So, more and more countries military would like to develop high-precision and high percentage weapons. With the development of nation defense industry, the strap-down inertial navigation system is used in navigation of weapons widely. Application of strap-down inertial navigation system improves the hit rate and accuracy weapons greatly, however, the environment of launching weapon usually is very severe, and its external environment is complex. The strap down inertial navigation system is often influenced by vibration and so on of its external environment. The influence factors can reduce navigation precision of strap-down inertial navigation system. And the shooting of weapons is also reduced. So, more measures must be taken to control the vibration.The traditional method of vibration control is to use vibration isolating and vibration reduction which is passive to control the vibration, but these methods are too passive, formalist and inadaptable to control the vibration of external environment real-time. Vibration active control method is put forward to conquer the bump. Vibration active control and aware vibration of external environment and make appropriate response to control the vibration by outputting control signal to control actuator. The core of vibration active control method is vibration active control algorithm. Vibration control algorithm has a direct impact on the effect of vibration control. Firstly, this article makes piezoelectric smart structure model of strap-down inertial navigation system modal and introduces the base of active control algorithm. Using finite element method divides the continuous model to discrete. Extract modal coordinates to design algorithm. Then design hardware of algorithm according to algorithm designed and transplant algorithm to the hardware. At last, design experiment to test the control effect of the algorithm designed. The results of the experiment illustrate that the control effect of independent modal linear quadratic optimal control algorithm is best; the control effect of couple modal linear quadratic optimal control algorithm is worst and the control effect of combined modal linear quadratic optimal control algorithm is between the former two algorithms.