To solve this problem, we make research on the relationship between nonminimum phase and backstepping control, finding that a stable nonlinear controller can be obtained by changing the control loop on the basis of backstepping control.
By extending the control loop to cover the internal dynamics in it, the internal states are directly controlled by the inputs and simultaneously serve as virtual control for the external states, making it possible to guarantee output tracking as well as internal stability.
The efficiency of the system can be improved by improving the control loop.
By now, the control loop conceived in Figure 4 has been successfully realized.
By replaying the queries again with a specific action, we are able to evaluate the impact of action by the control loops on the query execution time.
This chapter focuses on the increased delay in the control loop generated by digital controllers, explaining how engineers employing digital controllers should comprehend the impact of sampling delay.
The input and output scaling factors (SF) along with the integro-differential operators are tuned with real coded genetic algorithm (GA) to produce optimum closed loop performance by simultaneous consideration of the control loop error index and the control signal.
With the information of the estimation errors from each of the considered observers, a fault diagnosis and isolation (FDI) module is able to reconfigure the control loop by selecting the appropriate stabilising controller from a bank of precomputed control laws, each of them related to one of the considered fault models.
Modify the output impedance of the upstream circuit ( Z_{o} (s) ) by increasing the bandwidth of the control loop of the upstream converter [13], or by adding an extra damping loop [14, 15, 16, 17, 18, 19, 20, 21].
The actual effectiveness of such strategy strongly depends on the reliability and accuracy of the data measured by the sensors involved in the control loop.
