Abstract

AbstractProportional-Integral-Derivative (PID) control is the most widely used control method. Since, PID control performance can be adjusted by tuning the PID parameters, the selection of the PID parameters is very important, but optimal PID parameters are not easily obtained. Advanced control has high potential, but on-site engineers prefer PID control to advanced control. Hence, advanced control needs to be achieved by PID control.In this chapter, generalized predictive control (GPC) is attained by PID control. First, the technique that GPC law is approximated by a PID control law is introduced. Next, the obtained GPC-based PID control is applied to a weigh feeder. Finally, the design method of a GPC-based PID control system is extended to a multirate system in which the sampling interval is an integer multiple of the update interval.KeywordsControl InputPlant OutputReference InputProportional GainGeneralize Predictive ControlThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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