kalman filtering all of the measurements
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the design and implementation of an autonomous guidance system requires knowledge and an understanding of a wide range of technologies from the
system dynamics crucial to the development of a guidance system is an understanding of the dynamics of the system in particular it is necessary to
navigation systems bull traditional guidance systems used mechanical gyroscopes rate gyros to measure the angular velocities of the vehicle or
seekers there are two main types of sensor used in autonomous vehicles seekers and positionattitude sensors - although not all systems have
kalman filtering all of the measurements generated by the seeker and the navigation systemrate gyros are noisy and therefore need to be
the guidance law is used to generate a requirement usually an required acceleration that will achieve the guidance objective in this course we will
guidance control systemthe control aspect of the guidance system is intended to stabilise the behaviour of the airframe the fact that the
i have a frequency response data how do i convert that to state space i am given a 6 row and 3 column data steady state how do i convert that to
control surfaces as with a flight control system a guidance algorithm uses control surfaces to control the behaviour of an airframe
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