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基于精确数学模型的定量控制,虽精度高,但控制质量受限于对象参数的变化;定性控制具有较强的鲁棒性,但精确性稍差.结合两者优点,本文提出了一种无需对象精确数学模型的定性、定量信息混合控制新算法.该算法首先建立无因果划的键图模型,使用改进的键图理论,分析并给出键图模型中知识的定性表达方程,并对该定性表达方程进行适当的化简导出控制方程.对比PID控制的仿真结果证实:该算法具有较好的鲁棒性和动态性能,尤其在对象参数时变和含有非线性环节时.
The quantitative control based on the precise mathematical model has high precision, but the quality of control is limited by the change of the object parameters.Qualitative control has strong robustness, but the accuracy is a little bit worse.Based on the advantages of both, This paper first builds a keyless graph model with no causality and uses the improved key graph theory to analyze and present the qualitative expression equation of the knowledge in the key graph model. The qualitative expression equations are simplified and the governing equations are derived. The simulation results of contrast PID control show that the proposed algorithm has better robustness and dynamic performance, especially when the parameters of the object are time-varying and nonlinear.