1.4. Description of the unadjusted system in the space state and calculation of the system dynamics
Fig. 7. Block diagram of an uncorrected self-propelled gun.
Let's create a detailed block diagram:
Figure 8. Detailed block diagram.
A system of differential equations describing the dynamics of a linear ACS:
Equations for coupling output signals with state variables:
Let us consider the matrix of the system (coefficients of the system) – A, the matrix of inputs (control) - B, and the matrix of output (observation) - C:
;
; ;
Let's write the matrix transfer function of a closed system under zero initial conditions:
, where is the identity matrix
;
The transition matrix is described by the expression: ;
By performing the inverse Laplace transform from matrix, we obtain the fundamental matrix of the system.
The state variables are defined by the expression:
, where is the vector of initial conditions.
Let's model a detailed system in MATLAB:
Figure 9. Uncorrected self-propelled guns modeled in Matlab.
10. Graphs of state variables of the system modeled in MATLAB.
2. Calculation of a nonlinear automatic control system
Task:
It detects the presence of self-oscillations in the system, detects their stability, and calculates the parameters (if there are no self – oscillations in the system, it will achieve them by changing the parameters of the linear part or non-linear element).
The dynamic modes of the system are investigated by the phase plane method for a given static characteristic of a nonlinear element (HE).
Builds a transition process in a non-linear system.
Fig. 11. Initial block diagram of the ACS.
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