초록 ▼

A system, processing structure and method for performing vehicle intercept includes target acceleration estimation or blocking via a filter prior to deriving an interceptor acceleration time history via a guidance law. In the processing structure where the unknown target accelerations are blocked f

A system, processing structure and method for performing vehicle intercept includes target acceleration estimation or blocking via a filter prior to deriving an interceptor acceleration time history via a guidance law. In the processing structure where the unknown target accelerations are blocked from affecting estimates, a guidance law is generated, stored and retrieved accounting for worst case target acceleration. In the processing structure where the target acceleration is presumed constant with a constant bank angle, the guidance law is closed form, exploiting constant heading angular velocity, and thus generated online.

대표청구항 ▼

What is claimed is: 1. A processing structure configured in one or more processors for generating a vehicle command for an intercept, the processing structure comprising: a target acceleration blocking filter (TABF), configured in the one or more processors, wherein the TABF is adapted to receive o

What is claimed is: 1. A processing structure configured in one or more processors for generating a vehicle command for an intercept, the processing structure comprising: a target acceleration blocking filter (TABF), configured in the one or more processors, wherein the TABF is adapted to receive one or more measures of at least one of: a first bearing angle, a second bearing angle, relative range and relative range rate; and wherein the TABF is adapted to estimate a state vector comprising at least one relative position component and at least one relative velocity component and wherein the TABF is adapted to block a dynamic effect of unmeasured target acceleration; a game theoretic guidance law (GTGL), configured in the one or more processors, comprising a gain matrix generated for an anticipated worst possible target acceleration solution, wherein the GTGL is adapted to generate an acceleration command based on the estimated state vector and one or more values selected from the gain matrix according to a time-to-go value; and means for outputting a generated vehicle acceleration command signal. 2. The processing structure configured in one or more processors of claim 1 wherein the TABF is further adapted to estimate a state vector comprising three relative position components and three relative velocity components. 3. The processing structure configured in one or more processors of claim 1 wherein the gain matrix is in table form. 4. A method of generating a vehicle command for a target intercept, the steps comprising: measuring at least one of a first bearing angle, a second bearing angle, relative range and relative range rate; measuring vehicle velocity and vehicle acceleration; generating a linearized measurement matrix base on an a priori state estimate; generating an a posteriori state estimate and an a posteriori error covariance based on the a priori state estimate, an a priori error covariance and at least one of: the measured first bearing angle, the measured second bearing angle, the measured relative range, and the measured relative range rate; determining an estimate of a time-to-go value based on the a posteriori state estimate; determining a number of remaining stages by applying the estimated time-to-go value; determining a guidance gain through table lookup based on the number of remaining stages; determining the vehicle command based on the guidance gain and the a posteriori state estimate; determining a two-dimensional target acceleration direction estimate based on the a posteriori state estimate and a vehicle velocity measurement; determining an update for the a priori state estimate and an update for the a priori error covariance by using the a posteriori state estimate, the a posteriori error covariance and a vehicle acceleration measurement; and communicating the vehicle command to a vehicle actuator. 5. A processing structure configured in one or more processors for generating a vehicle command for an intercept, the processing structure comprising: a target acceleration estimator (TAE), configured in the one or more processors, wherein the TAE is adapted to receive one or more measures of at least one of: a first bearing angle, a second bearing angle, relative range and relative range rate; and wherein the TAE is adapted to estimate a state vector comprising at least one relative position component and at least one relative velocity component wherein the target acceleration being estimated by the TAE is presumed to have a constant magnitude and a constant bank angle rate; a linear quadratic guidance law (LQGL), configured in the one or more processors, the LQGL comprising a closed-form solution for at least one vehicle command based on: (a) the estimated state vector of the TAE, (b) the estimated target acceleration of the TAE, (c) the closed-form solution; and means for outputting the at least one vehicle command solution. 6. The processing structure configured in one or more processors of claim 5 wherein the TAE is further adapted to estimate a state vector comprising three relative position components and three relative velocity components. 7. The processing structure configured in one or more processors of claim 5 wherein the closed-form solution is a gain matrix and wherein the LQGL is adapted to generate an acceleration command based on: the estimated state vector, the estimated target acceleration and the gain matrix based on a time-to-go value and a target angular velocity value. 8. The processing structure configured in one or more processors of claim 5 wherein the at least one vehicle command solution is a generated vehicle acceleration command signal. 9. A method of generating a vehicle command for a target intercept, the steps comprising: measuring at least one of a first bearing angle, a second bearing angle, relative range and relative range rate; measuring vehicle velocity and vehicle acceleration; determining a linearized measurement matrix based on an a priori state estimate and the measured vehicle velocity; determining an a posteriori state estimate and an a posteriori error covariance based on the a priori state estimate, an a priori error covariance and at least one of: the measured first bearing angle, the measured second bearing angle, and the measured relative range; estimating a target angular velocity based on the a posteriori state estimate and the measured vehicle velocity; estimating a time-to-go value based on the a posteriori state estimate; determining a vehicle command by using the a posteriori state estimate, the measured vehicle acceleration, the estimated target angular velocity and the estimated time-to-go; determining a linearized state matrix based on the a priori state estimate and the measured vehicle velocity; updating, based on the a posteriori state estimate and the a posteriori error covariance and the measured vehicle acceleration; the a priori state estimate, the a priori error covariance and the state covariance; and communicating the vehicle command to a vehicle actuator.