"associated controller" is an acceptable and usable phrase in written English.
It is typically used to describe the relationship between a device or program and the controlling force behind its operation. For example: "The robot had an associated controller to monitor its functionality."
In addition, an associated controller is designed using leg coordination Cartesian position as the control state space based on which stiffness control is performed at sub-controller level.
In previous work, we have developed RAID architectures and associated controller hardware that increase the reliability and lifespan of these storage systems.
The reduced model lowers the complexity to design the associated controller, allowing analytical implementation of a feasible design.
Provided there is sufficient energy stored in the battery pack, the BEES associated controllers can quickly react by injecting active power into the AC system to provide frequency support in the event of synchronous generators frequency oscillations, as well as reactive power for voltage regulation [1].
It is seen that with the ESS and associated droop controller, the bandwidth of the dc voltage controller is significantly improved.
Similarly, fine tune of the associated feedback controller requires to be based on the residual disturbance remaining after the feedforward control action.
The main problem associated with controller design is the presence of uncertainties in the dynamic model of the system, which can be associated with unknown constant parameters and/or unmodeled dynamics such as external disturbances.
Two stochastic algorithms will be proposed to find a (sub optimal sequence and the associated optimal controller which is the result of a discrete algebraic Riccati equation for the given optimal sequence.
It is shown in Fig. 13 that incorporating the ESS and associated droop controller affects the power flow in the dc link; i.e., the lower power fluctuation is transmitted to the network through the LSC indicating smoothing of the output power; the higher power fluctuation is compensated for by the ESS, and the remainder flows to the dc capacitor.
The overall electromechanical wind generator model includes 24 state variables: four mechanical, eleven electrical, and nine more – one for each controller – associated to the control system.
Using the mechatronic approach, optimal beam shapes as well as the associated optimal controllers for different feedback structures and for different objective functions can be achieved.
