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Research On Control Algorithm Of Strapdown Seeker

Posted on:2016-11-08Degree:MasterType:Thesis
Country:ChinaCandidate:B J LongFull Text:PDF
GTID:2272330479991114Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
With the development of war, traditional ammunition due to its large size,heavy quality, low dynamic performance and the ammunition burdens are no longer to adapt the demand of modern battlefield. Based on strapdown stabilization technology of new ammunition can solve the above problems and has gradually become the focus of the missile technology. In order to study the model inaccuracy and complex environment under the interference of strapdown stabilization platform control algorithm. Based on the pitch/yaw strapdown seeker stabilized platform as an example, we study on its kinematics modeling, dynamics modeling, system decoupling and linearization, control algorithm, system robustness, etc.At first, based on the space coordinate change matrix deduce platform frame in inertial space of angular velocity and angular acceleration information, and through the Euler dynamic equation, the rigid body moment equation, the motor armature equations obtain the system equations. In order to make the system model closer to reality, the way interference factors influence on system are analyzed, lay a theoretical foundation for subsequent control algorithm study.Aiming at the existing system of strapdown stabilization platform highly coupled, highly nonlinear problem, based on the idea of feedback linearization and real-time compensation, an improved with feedback linearization method, and adjust the parameter setting method is given.In order to improve the system robustness and anti-interference ability, this paper introductioned the sliding mode variable structure control algorithm and use the "quasi sliding mode control algorithm" based on the Sigmoid function,effectively reduce the chattering phenomenon in the system. To optimize the reaching law parameters, put forward a kind of adaptive variable structure control based on neural network algorithm. In order to further suppress the system chattering phenomenon, put forward using sliding window average filter method of variable structure control voltage for reprocessing.
Keywords/Search Tags:Semi-strapdown stabilization platform, System decoupling, Feedback linearization, Adaptive Variable structure control, Neural network
PDF Full Text Request
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