Industrial applications of advanced control techniques

来源期刊：中南大学学报(英文版)2003年第3期

论文作者：刘国平

文章页码：265 - 271

Key words：optimal-tuning control; neural predictive control; real-time control; hydraulic system; combustor

Abstract:

This paper discusses two industrial control applications using advanced control techniques. They are the optimal-tuning nonlinear PID control of hydraulic systems and the neural predictive control of combustor acoustic of gas turbines. For hydraulic control systems, an optimal PID controller with inverse of dead zone is introduced to overcome the dead zone and is designed to satisfy desired time-domain performance requirements, Using the adaptive model, an optimal-tuning PID control scheme is proposed to provide optimal PID parameters even in the case where the system dynamics is time variant. For combustor acoustic control of gas turbines, a neural predictive control strategy is presented, which consists of three parts: an outpur model, output predictor arid feedback controller.The output model of the combustor acoustic is established using neural networks to predict the output and overcome the time delay of the system, which is often very large, compared with the sampling period. The output-feedback controller is introduced which uses the output of the predictor to suppress instability in the combustion process. The above control strategies are implemented in the SIMUI.INK/dSPACE controller development environment. Their performance is evaluated on the industrial hydraulic test rig and the industrial combustor test rig.