基于最优换挡控制目标的仿人智能模糊控制策略

Applications of Optimal Shift Control Strategy to Human Intelligent Fuzzy Control

针对装载机控制系统的多输入、多输出、不确定性等复杂非线性特性,本文提出基于仿人智能模糊控制的自动换挡策略,将仿人智能控制与模糊控制相结合,以获取更好的自动换挡控制效果.首先提出最优换挡控制目标,以最佳动力换挡曲线设计规则库,通过模糊控制方法,实现最佳动力换挡的信息量输出;然后引入仿人智能控制,实现多态的仿人控制,最终达到最优换挡控制目标;最后以某企业典型的轮式装载机为目标样机,构建仿真模型并进行仿真分析,还在整机上进行性能验证,仿真结果与整机验证结果一致.实验表明仿人智能模糊控制具有比较好的控制效果,能够保证装载机工作过程的动力性,同时提高整机的作业效率.

For purposes of aiming at the control system of loader multiple input, multiple output, and the uncertainty of the complex nonlinear characteristics, a new controller to realize automatic shift is constructed according to fuzzy control algorithm with Human-Simulated intelligent control, combined with Human-Simulated intelligent fuzzy control, to obtain better results. First, an optimal shift control objectives is proposed. The fuzzy control method is used to achieve the information of optimum power shift, of which rules are designed based on the best power shift curve. And then the humanoid intelligent control method is introduced, design polymorphism humanoid control, and ultimately achieve optimal shift control objectives. Finally a simulation model is built and anal ysis, with the prototype of an enterprise typically wheel loader, and proved in practice on the loader. The simulation results are consistent with the validation results on the loader. Experiments show humanoid intelligent fuzzy control exerts better control effects. It is possible to ensure that the process of dynamic loader works, while improving the operating efficiency of the machine.