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针对不确定性机械系统,提出了一种新的最优鲁棒控制方法.本文用模糊法去描述机械系统中的不确定性.机械系统的性能要求是确定的(保证最低要求),同时也是模糊的(成本控制里用到).所提出的控制方法是确定的,而不是基于假设的规则.经过严格的理论证明,控制系统最终可达到理想的性能指标.基于模糊信息,本文设计了一个性能指标(综合成本,包括系统的平均模糊性能和控制成本).通过最小化此性能指标,可解决控制的最优设计问题.这种最优设计方法可得到唯一的解析形式的最优解.总的来说,这种最优鲁棒控制方法较为系统,能够保证确定的系统性能得以实现,同时控制成本最小.最后,本文选了一个机械系统作为例子.
Aiming at the uncertain mechanical system, a new optimal robust control method is proposed. In this paper, the fuzzy method is used to describe the uncertainties in a mechanical system. The performance requirements of the mechanical system are determined (minimum requirements are guaranteed) Fuzzy (used in cost control). The proposed control method is deterministic rather than hypothetical rules.After rigorous theoretical proofs, the control system can finally reach the ideal performance index.Based on the fuzzy information, this paper designs a Performance Indicators (Consolidated costs, including the average fuzzy performance and control cost of the system.) By minimizing this performance index, the optimal control design problem can be solved, and this optimal design approach yields the only optimal solution in analytical form. In general, the optimal robust control method is more systematic, which can ensure the certain system performance can be realized, and the control cost is the least.Finally, we choose a mechanical system as an example.