论文部分内容阅读
针对复合控制中采用PSR调制器控制发动机开关机的控制逻辑参数选择问题,基于微粒群算法提出了一种控制逻辑参数优化方法。该方法以提高复合控制性能为目标,将复合控制的控制逻辑参数选择问题转化为对以复合控制性能为指标的多目标优化问题。在此基础上,将微粒群算法应用于该优化问题的求解,提出了一种基于微粒群算法的PSR调制型复合控制逻辑参数优化方法,并设计了算法流程图。仿真结果表明,采用该设计方法对参数优化后,复合控制总体性能有明显提升。
Aiming at the selection of control logic parameters for controlling the on / off of the engine using PSR modulator in composite control, a method of optimizing control logic parameters is proposed based on Particle Swarm Optimization (PSO). In order to improve the performance of compound control, this method transforms the control parameter selection of composite control into a multi-objective optimization problem with composite control performance as an index. On this basis, the particle swarm optimization algorithm is applied to solve the optimization problem, and a PSO-based compound control logic parameter optimization method based on particle swarm optimization is proposed. The algorithm flow chart is designed. The simulation results show that the overall performance of hybrid control has been significantly improved after the parameters are optimized by this design method.