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基于梯形区间软约束的多目标优化预测控制算法研究 被引量:4

A Predictive Control Algorithm Based on Trapezoid Interval Soft Constraint and Multi-objective Optimization
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摘要 针对多变量控制系统在受到干扰时,自由度低、鲁棒性差的缺点,在三角区间软约束控制算法的基础上,提出一种基于梯形区间软约束的多目标预测控制算法。首先在容忍区间外设置梯形区间,使控制过程分为两个部分,以减小控制初期瞬态偏差对系统造成的影响;为了缓解工业过程中各控制目标相互耦合的问题,构建两个目标函数,并用迭代算法对ε-约束法进行改进,优化目标函数,以减小目标函数的求解误差,实现对多入多出系统的协调控制。通过对壳牌公司的重油分馏塔模型仿真实验,将三角区间软约束控制算法与该算法进行对比,结果表明该算法具有较好的鲁棒性和快速性。 Based on triangle interval soft constraint, a trapezoid interval soft constraint and multi-objective optimization algorithm was presented. The algorithm set up a trapezoidal interval outside the tolerance interval, and the control process is divided into two parts to reduce the effects of the initial transient deviation on the system. In order to alleviate the control target of mutual coupling problems in the industrial process, two objective functions were constructed, and the coordination control of MIMO system was achieved by the method of ε-constraint which is improved with iterative algorithm, and then solving the objective function, to reduce the errors of the objective function and realize the coordination control for MIMO systems. Finally, the simulation has been done with the heavy oil fractionator model of Shell company, predictive control algorithm based on triangle interval soft constrain compared with this algorithm, the rusult show that the proposed algorithm has better optimization.
作者 刘彬 顾昕峰 孙超 张春燃 刘浩然 LIU Bin;GU Xin-feng;SUN Chao;ZHANG Chun-ran;LIU Hao-ran(School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China;School of Informational Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China)
出处 《计量学报》 CSCD 北大核心 2018年第4期562-567,共6页 Acta Metrologica Sinica
基金 国家自然科学基金(51641609) 河北省自然科学基金(F2016203354) 河北省科学技术研究与发展计划科技支撑计划(16214532)
关键词 计量学 预测控制 多目标优化 设定值控制 梯形区间软约束 metrology predictive control multi-objective optimization set point control trapezoid interval soft constraint
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