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In this paper, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to optimize the parameters of PID algorithm in order to improve the performance of PID control system. Moreover, we propose the grey model based on grey system theory to combine with PID control to establish the PID prediction control system. The proposed control system can realize the accurate control...
This paper presents a cascade adaptive predictive controller (APC) for an industrial application, namely, drum of GILAN combine cycle steam power plant. In order to achieve an accurate model for the drum, real data from GILAN power plant is used. The main objective of the controller design is to achieve an acceptable performance for regulating water level deviation of the drum. APC outer loop of the...
A nonlinear constrained model predictive control (NCMPC) method is presented for the control of the dissolved oxygen in a bio-reactor system using Hammerstein model. The control of dissolved oxygen as output is accomplished by adjusting the stirrer speed as input. The proposed controller is compared with the Nonlinear Model Predictive Control(NMPC) method without input constraints. The simulations...
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