Spacecraft attitude control: Application of fine trajectory linearization control

One of the simplest and most popular methods to design a model-based controller for nonlinear dynamic system is apply linear control theories linearized model system. For linearization, first-order Taylor series expansion straightforward widely used method. Although related linearization method fairly simple, unfortunately, it causes an error in model, especially highly systems. Different strategies have been proposed increase robustness linearization-based against error. All somehow look at as uncertainty or disturbance, which has be rejected. Generally speaking, lack technique reduces quality control. area simplicity can necessary spacecraft attitude purpose control, this paper improves well-known trajectory (TLC) simple practical tracking using error-less, fine technique. The modified TLC then develop law with only three tunable parameters approximation inertia matrix. Finally, due elimination caused by error, way, novel leads better performance comparison traditional superiority new approach illustrated numerical simulations.