Figure 2.1: Proposed Adaptive Control Scheme
The suggested adaptive MCS control scheme uses a mathematical model of
the system to create a control rule that meets specific performance
requirements, like stability and tracking accuracy. The scheme uses an
online identification approach to estimate real-time system model
parameters. The control law is then updated, and the system’s control
inputs are modified using the predicted model parameters.
A feedback loop in the control system enables the system to modify its
behavior in response to the discrepancy between the intended and actual
outputs. The feedback loop adjusts the control input by comparing the
system’s actual output with the intended output and using the
discrepancy, known as the error signal. The components of a feedback
loop are sensors, a controller, an actuator and a plant. The sensor
gives the controller information by measuring the system’s real output
[28]. The control input is determined by the controller using a
control algorithm and transmitted to the actuator. The actuator could be
any mechanism that alters the system’s behavior, such as a motor or
valve. Finally, the sensor measures the output produced by the plant
once it receives the control input from the actuator.
The power system comprises a synchronous machine alternator unit linked
to an infinite bus via a transmission line. The system incorporates
controls for voltage regulation and speed governance.