Adaptive feed forward controller

For example, an adaptive feed forward controller has to be connected to a present engine speed signal to generate a correlated reference signal for the suppression of engine noise and vibration [143]. 

A mathematical model with which the dryer and process parameters can be studied is of extreme utility to the industry. A reliable model often will prevent or minimize costly mistakes in prototype development. The model also can be utilized for the control of process, specifically in adaptive and feed-forward control strategies. With the proliferation of low cost and powerful computers, the simulation models are useful. In this chapter, the emphasis is on the presentation of formulas and equations rather than the conventional charts and graphs in drying calculations. 

One adaptronic approach to reduce torsional vibrations was to integrate actuators within the diagonal stiffening struts of the car underbody (Fig. 8.24) [150,151]. Different actuators have been investigated, piezoceramic stacks, hydraulic cylinders and hydraulic muscles. Control approaches like adaptive feed-forward and feedback were implemented and significant vibration reductions were achieved (Fig. 8.24). To commercialize this affirmative active concept system cost, size, complexity and power consumption must be further reduced. 

Another advantage to DCS is that because it is software based, it can accommodate more complex control schemes, e.g. cascade, feed forward, adaptive gain, signal selection, and computation of... 

The advantage of such a control system is that the feeding of fuel can be adapted to the time curve of the thermal output almost instantaneously. This ensures stable controlling which is necessary for a continuous operation without on/off-operation. On the other hand, a fuel control reacting exclusively to the boiler temperature or the flow temperature, only allows a very slow adjustment of the fuel quantity to the load curve, as a change in load becomes effective only after a certain time. Due to this dead time, there is in general no stable control without disturbance value feed-forward... 

The dynamic model was validated both in steady and unsteady-state conditions, which is quite interesting in case that a control based on feed-forward strategy is applied. The prediction of the final concentration of Orange II from the initial data would allow the system control to modify the flow rate of MnP, Orange II or H2O2, in order to adapt the conditions to the desired final value. 

After successful implementation of conventional model-reference adaptive controllers on smart structures, the next logical step was to investigate the possibility of using a neural network for adaptive control implementations. The linear and nonlinear mapping properties of neural networks have been extensively utilized in the design of multilayered feed-forward neural networks for the implementation of adaptive control algorithms [10]. 

---