Documentation |
Implement 2-D vector of state-space controllers by linear interpolation of their outputs
The 2D Controller Blend block implements an array of state-space controller designs. The controllers are run in parallel, and their outputs interpolated according to the current flight condition or operating point. The advantage of this implementation approach is that the state-space matrices A, B, C, and D for the individual controller designs do not need to vary smoothly from one design point to the next.
For the 2D Controller Blend block, at any given instant in time, nine controller designs are updated.
As the value of the scheduling parameter varies and the index of the controllers that need to be run changes, the states of the oncoming controller are initialized by using the self-conditioned form as defined for the Self-Conditioned [A,B,C,D] block.
A-matrix of the state-space implementation. In the case of 2-D blending, the A-matrix should have four dimensions, the last two corresponding to scheduling variables v1 and v2. Hence, for example, if the A-matrix corresponding to the first entry of v1 and first entry of v2 is the identity matrix, then A(:,:,1,1) = [1 0;0 1];.
B-matrix of the state-space implementation.
C-matrix of the state-space implementation.
D-matrix of the state-space implementation.
Vector of the breakpoints for the first scheduling variable. The length of v1 should be same as the size of the third dimension of A, B, C, and D.
Vector of the breakpoints for the second scheduling variable. The length of v2 should be same as the size of the fourth dimension of A, B, C, and D.
Vector of initial states for the controller, i.e., initial values for the state vector, x. It should have length equal to the size of the first dimension of A.
For oncoming controllers, an observer-like structure is used to ensure that the controller output tracks the current block output, u. The poles of the observer are defined in this dialog box as a vector, the number of poles being equal to the dimension of the A-matrix. Poles that are too fast result in sensor noise propagation, and poles that are too slow result in the failure of the controller output to track u.
Input | Dimension Type | Description |
---|---|---|
First | Any | Contains the measurements. |
Second | Contains the scheduling variable, conforming to the dimensions of the state-space matrices. | |
Third | Contains the scheduling variable, conforming to the dimensions of the state-space matrices. |
Output | Dimension Type | Description |
---|---|---|
First | Any | Contains the actuator demands. |