RCGA based PID controller with feedforward control for a heat exchanger system
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A heat exchanger is commonly used in a chemical process and/or ships to transfer heat from a hot fluid through a solid wall to a cooler fluid. Various types of PID controllers have been adopted to control the temperature of a heat exchanger to guarantee control performance. The inherent limitation of PID controllers, however, is that the controller acts after disturbance distorts the required control objective. If disturbances occur frequently, a PID controller would not be able to attain the desired steady state response. To overcome this limitation, feedforward control must be adopted with PID control. Feedforward control works in combination with PID control as it cannot operate alone. This paper presents a method to control the temperature of a heat exchanger by using a PID controller with a feedforward controller. The parameters of the PID controller are tuned using the real-coded genetic algorithm (RCGA) by minimizing the integral absolute error. A set of simulations are carried out to compare the set-point tracking and disturbance rejection performances of the proposed controller with conventional PID controllers.
Abstract
A heat exchanger is commonly used in a chemical process and/or ships to transfer heat from a hot fluid through a solid wall to a cooler fluid. Various types of PID controllers have been adopted to control the temperature of a heat exchanger to guarantee control performance. The inherent limitation of PID controllers, however, is that the controller acts after disturbance distorts the required control objective. If disturbances occur frequently, a PID controller would not be able to attain the desired steady state response. To overcome this limitation, feedforward control must be adopted with PID control. Feedforward control works in combination with PID control as it cannot operate alone. This paper presents a method to control the temperature of a heat exchanger by using a PID controller with a feedforward controller. The parameters of the PID controller are tuned using the real-coded genetic algorithm (RCGA) by minimizing the integral absolute error. A set of simulations are carried out to compare the set-point tracking and disturbance rejection performances of the proposed controller with conventional PID controllers.
참고문헌 (11)
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