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Optimization of fuzzy system performance using sequential quadratic programming

机译:使用顺序二次编程优化模糊系统性能

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摘要

In this study, the Sequential Quadratic Programming (SQP) is first used to solve the optimal control problem of maximizing system efficiency, which is a global optimization. And then a fuzzy logic controller is developed to implement the optimal control strategy in terms of further tradeoff between engine and battery in local. In addition, the fuzzy system's performance to be improved is by optimizing the fuzzy rules based on the SQP results.
机译:在本研究中,首先使用顺序二次编程(SQP)来解决最大化系统效率的最佳控制问题,这是全局优化。然后开发了一种模糊逻辑控制器,以在当地的发动机和电池之间进一步的折衷方面实现最佳控制策略。此外,要改进的模糊系统的性能是通过基于SQP结果优化模糊规则。

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