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为了克服控制算法因鲁棒性差难以实现对不确定性复杂关联系统控制的缺陷,探讨了仿人智能融合控制算法的鲁棒性。讨论了传统控制面临的挑战,粗略地分析了不确定性复杂关联系统的控制论特性,研究了系统的仿人智能融合控制策略,针对具体对象构造了相应的控制算法。以二阶时滞对象控制为例,分别采用PID与仿人智能融合控制算法进行了仿真对比研究,实验的系统响应曲线验证了该算法具有良好动静态控制品质与鲁棒性能。研究结果表明:提出的融合控制算法是可行与合理的,具有很强的鲁棒性。
In order to overcome the shortcomings of control algorithm due to poor robustness in order to realize the control of uncertain complex relational systems, the robustness of humanoid intelligent fusion control algorithm is discussed. This paper discusses the challenges of traditional control, roughly analyzes the cybernetics features of uncertain complex relational systems, studies the human-like intelligent fusion control strategy of the system, and constructs the corresponding control algorithms for specific objects. Taking the second-order time-delay object control as an example, the simulation comparison between PID and humanoid intelligent fusion control algorithm is carried out. The experimental system response curve shows that the algorithm has good control quality and robustness. The results show that the proposed fusion control algorithm is feasible and reasonable and has strong robustness.