Adaptive Subspace Predictive Control with Time-varying Forgetting Factor 被引量：3

Adaptive Subspace Predictive Control with Time-varying Forgetting Factor

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摘要 Aiming at the time-varying characteristics of industrial process, this paper introduces an adaptive subspace predictive control(ASPC) strategy with time-varying forgetting factor based on the original subspace predictive control algorithm(SPC). The new method uses model matching error to calculate the variable forgetting factor, and applies it to constructing Hankel data matrix.This makes the data represent the changes of system information better. For eliminating the steady state error, the derivation of the incremental control is made. Simulation results on a rotary kiln show that this control strategy has achieved a good control effect. Aiming at the time-varying characteristics of industrial process, this paper introduces an adaptive subspace predictive control(ASPC) strategy with time-varying forgetting factor based on the original subspace predictive control algorithm(SPC). The new method uses model matching error to calculate the variable forgetting factor, and applies it to constructing Hankel data matrix.This makes the data represent the changes of system information better. For eliminating the steady state error, the derivation of the incremental control is made. Simulation results on a rotary kiln show that this control strategy has achieved a good control effect.

作者 Li Zhang Shan-Zhi Xu Hong-Tao Zhao

机构地区 School of Mechanical Electrical Technology Department of Taizhong Group Yuci Hydraulics Industry Co. Power Generation Plant of Cpi Fushun Thermo Electrical Power Co.

出处《International Journal of Automation and computing》 EI CSCD 2014年第2期205-209,共5页 国际自动化与计算杂志（英文版）

关键词 Subspace predictive control time-varying forgetting factor model matching error adaptive rotary kiln. Subspace predictive control,time-varying forgetting factor,model matching error,adaptive,rotary kiln.

分类号 TP13 [自动化与计算机技术—控制理论与控制工程]

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参考文献7

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