Control Design for Nonlinear Smart Actuators

非线性智能执行器的控制设计

• 批准号: 0099764
• 负责人: Ralph Smith
• 金额: $ 18.57万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-08-01 至 2004-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0099764&HistoricalAwards=false
• 关键词: Control; Design; Nonlinear; Smart; Actuators

This investigation focuses on the analysis and design of nonlinear actuators which utilize smart material transducers comprised of piezoelectric, electrostrictive or magnetostrictive materials. These transducers have proven highly effective in a number of industrial, automotive, defense, aerospace and aeronautical applications due to their dual capability for sensing and actuating, the magnitude of generated forces, and their broadband nature. At high drive levels, however, all of these materials exhibit constitutive nonlinearities and varying degrees of hysteresis. The goal in this investigation is to develop mathematical models and control algorithms which, in conjunction with drive electronics, compensate for the nonlinearities inherent to these materials. The strategy in the modeling component focuses on utilizing energy mechanisms to develop unified models that are appropriate for each of the smart material compounds. Inverse compensators based on these models will then be combined with feedback, feedforward, adaptive and robust control laws to provide the control algorithms necessary to achieve linear transducer dynamics. This investigation will advance the state of smart material control systems and extend the capabilities of currently available actuators for high performance applications by facilitating the construction of actuators which have the full stroke and force capabilities of the nonlinear constituent smart materials but exhibit linear behavior throughout their drive range.

本研究的重点是利用压电、电致伸缩或磁致伸缩材料组成的智能材料换能器的非线性执行器的分析和设计。这些传感器在许多工业，汽车，国防，航空航天和航空应用中被证明是非常有效的，因为它们具有传感和驱动的双重能力，产生的力的大小，以及它们的宽带性质。然而，在高驱动电平下，所有这些材料都表现出本构非线性和不同程度的滞后。本研究的目标是开发数学模型和控制算法，结合驱动电子器件，补偿这些材料固有的非线性。建模组件中的策略侧重于利用能量机制来开发适合每种智能材料化合物的统一模型。然后，基于这些模型的逆补偿器将与反馈、前馈、自适应和鲁棒控制律相结合，以提供实现线性换能器动力学所需的控制算法。这项研究将推进智能材料控制系统的状态，并通过促进执行器的构建，扩展当前可用的执行器的高性能应用能力，这些执行器具有非线性组成智能材料的全部行程和力能力，但在其整个驱动范围内表现出线性行为。