Computing the autopilot control algorithm using predictive functional control for unstable model

H. A., Kasdirin and J. A., Rossiter (2009) Computing the autopilot control algorithm using predictive functional control for unstable model. In: 2009 International Conference of Soft Computing and Pattern Recognition, 4-7 December 2009, Melaka, Malaysia. (Submitted)

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: predictive functional control (PFC), autopilot design, state-space models
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Electrical Engineering
Depositing User: Noor Rahman Jamiah Jalil
Date Deposited: 27 Oct 2015 03:47
Last Modified: 27 Oct 2015 03:47
URI: http://eprints.utem.edu.my/id/eprint/15115
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