Showing posts with label Control System. Show all posts
Showing posts with label Control System. Show all posts
The bode diagram approach is the most commonly used method for the analysis and synthesis of
A. Non Linear Feedback control system only
B. Linear Feedback Control System Only
C.Open Loop System Only
D. All of the above
B. Linear Feedback Control System Only
C.Open Loop System Only
D. All of the above
How can steady state eror in a system be reduced ?
A. By decreasing the type of system
B. By increasing system gain
C. By decreasing the static error constant
D. By increasing the input
B. By increasing system gain
C. By decreasing the static error constant
D. By increasing the input
Eigen Value Theory
Eigen values tell us the exponential part of the solution of the differential equation system
Three possible values for an eigen value :
1) Positive value: system will increase exponentially
2) Negative value: system will decay exponentially
3) Imaginary value: system will oscillate (note combinations of the above are possible)
NOTE:
Eigen values close to imaginary axis dominated on other value which is far from imaginary axis. Eigen value close to imaginary axis affect the system response.
Effect:
· If any eigenvalue has a positive real part, the system will tend to move away from the fixed point.
· If the real component of at least one eigenvalue is positive, than the system is unstable.
· If there are imaginary eigenvalue components with real positive component than the response will oscillate.
· Stability of linear dynamical systems can be determined from eigenvalues.
· Stability of nonlinear dynamical systems can be locally evaluated using eigenvalues.
Three possible values for an eigen value :
1) Positive value: system will increase exponentially
2) Negative value: system will decay exponentially
3) Imaginary value: system will oscillate (note combinations of the above are possible)
NOTE:
Eigen values close to imaginary axis dominated on other value which is far from imaginary axis. Eigen value close to imaginary axis affect the system response.
Effect:
· If any eigenvalue has a positive real part, the system will tend to move away from the fixed point.
· If the real component of at least one eigenvalue is positive, than the system is unstable.
· If there are imaginary eigenvalue components with real positive component than the response will oscillate.
· Stability of linear dynamical systems can be determined from eigenvalues.
· Stability of nonlinear dynamical systems can be locally evaluated using eigenvalues.
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