LQG, PID controller, ANN for single axis gimbal actuator

Gimbal or other stable platforms have structures that move according to its functions. This is for the purpose of keeping track goals fullest. Tracking targets can become difficult as subject moves further and away they are out gimbal’s allowable viewing range. Besides, under influence noise signals form outside space, it becomes even more observe targets. To overcome above disadvantages, this paper presented an adjustment method limit risks. Adjusting Linear Quadratic Gaussian (LQG) expensive gimbal systems, processed purely by Kalman filters improve function observing In addition, proportional- integral-derivative (PID) controller, artificial neural network in case also considered verify effectiveness control methods listed below. particular, ANN most effective today deal with unwanted signals. These cause worsening conditions during operation systems.Therefore, (ANN) a solution information communication security problems. Simulation done Matlab. Novelty work: no previous research has been published genre. The study genre use intelligence suggestive intellligence technologies at higher level. category suggestion studying smoother based on existing data.