REDUCED-ORDER OBSERVER ALGORITHM COURSE MANAGEMENT SYSTEM OF THE SHIP TO ASSESS DISTURBANCE AND NOISE MEASUREMENTS
To increase reliability and ensure the required quality indicators of the automatic control system course ship need reliable information on the dynamic model of the State vector, adequate to the real object. When exposed to ship outside disturbances, resulting in noise in the measured signals are required to ensure that lowering noise by filtering and sensor application of mathematical information. Sensors can be synthesized using dynamic observers and evaluators. Since the conditions of use of autopilots vector state is always available for the dimension, you must manage the process on the vector output. For optimal control requires data recovery on vector output. When moving a ship in the midst of the excitement of external perturbations cause additional components of error in assessing the vector state. This significantly deteriorate the qualitative indices of ship autopilots complexes and their increasing need to use methods and computational procedures stochastic filtering.The method and algorithm of dynamic observers reduced dimensionality (Observer David Luenberger), notable for the fact that it reduces the error estimation of the vector of state variables of the channel object, functioning in the face of changing external Wednesday, by constructing a model of the extended status object system Wednesday. Score is based on algorithms of linearization of nonlinear state-space models using optimal filtration, laboratory matrix instrumentation and computer technology. An example of the calculation of the three-dimensional dynamic observer to evaluate the perturbation vectors and noise measurements made on the basis of the proposed algorithm. The results of the evaluation of state variables and perturbations produced using canonical forms of State equations correspond to the best (performance) the transitional processes in these dynamic models when translating from a given initial state in the settled condition in minimal time.