Computing the autopilot control algorithm using predictive functional control for unstable model
This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. One basic Ballistic Missile model (10) is used as an unstable model to formulate the control law algorithm using PFC. PFC algorithm...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/15115/1/Computing%20the%20autopilot%20control%20algorithm%20using%20predictive%20functional%20control%20for%20unstable%20model237.pdf http://eprints.utem.edu.my/id/eprint/15115/ |
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| Summary: | This paper discusses the computing development of a control algorithm using Predictive Functional Control (PFC) for model-based that having one or more unstable poles. One basic Ballistic Missile model (10) is used as an unstable model to formulate the control law algorithm using PFC. PFC algorithm development is computationally simple as a controller and it is not very complicated as the function of a missile will explode as it reaches the target.
Furthermore, the analysis and issues of the
implementation relating linear discrete-time unstable
process are also being discussed. Hence, designed PFC
algorithm need to find the suitable tuning parameters as
its play an important part of the designing the autopilot
controller. Thus, the tuning of the desired time
constant, 'I' and small coincidence horizon n1 in a single
coincidence point shows that the PFC control law is
built better in the dynamic pole of the unstable missile
mode. As a result, by using a trajectory set-point, some
positive results is presented and discussed as the missile
follow its reference trajectory via some simulation using
MATLAB 7.0. |
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