Morphing controllers for nonlinear systems

开发控制器以跟踪先进制造业、石油化工行业、可再生能源系统和航空航天（例如：为了提供有效且节能的控制，非常需要Canada Arm）。控制理论和实际应用领域的研究人员已经取得了良好的发现和成果，解决了非线性控制中的挑战性问题。跟踪快速反应的非线性系统以及多变量过程的复杂轨迹是具有挑战性的，并且需要增强的控制概念或方法。在此背景下，研究建议的重点是理论公式，仿真和实际实施的一个独特的变形控制策略，跟踪不寻常的设定点配置文件的非线性系统。虽然许多研究人员都致力于这一研究课题，这是蓬勃发展和正在进行的，这里的研究直接针对制定一个新的控制引擎或方法，以解决非线性控制的问题。申请人的研究旨在制定一种通用变形控制器，其适用于处理若干非线性属性，例如静摩擦、滞后、饱和、操纵变量或控制移动相关的过程增益和时间常数、非线性死区和其他非线性属性。四名研究生将进行研究，两名在硕士水平，两名在博士水平。两个硕士和一个博士将专注于开发一个通用的智能建模方案，可以离线操作，以及在许多类型的非线性系统的闭环控制过程中实时操作。第二个博士生将专注于开发能够处理各种非线性系统的通用控制器。学生将结合联合收割机的智能建模和控制算法和方法，导致变形的非线性控制策略。 申请人预计，该研究计划将对跟踪复杂轨迹和加工条件提供有效的控制性能产生重大影响，并提供最小能量路径。

Developing controllers to track complex processing conditions profiles in advanced manufacturing, petrochemical industries, renewable energy systems and aerospace (eg. Canada Arm) is much needed in order to provide effective and energy efficient control. Researchers in the field of control theory and practical applications have produced sound findings and results that have solved challenging problems in nonlinear control. Tracking complex trajectories for fast reacting nonlinear systems, as well as for multivariable processes is challenging and requires an enhanced control concept or approach methodology. Based on this background, the research proposal focuses on theoretical formulations, simulations and practical implementations of a unique morphing control strategy for tracking unusual setpoint profiles for nonlinear systems. While many researchers have worked on this research topic which is thriving and ongoing, the research here aims directly at the formulation of a new control engine or method to address the problem of nonlinear control. The applicant's research is aimed at formulating a generic morphing controller that is suitable for handling several nonlinear attributes such as stiction, hysteresis, saturation, manipulated variable or control move dependent process gain and time constants, nonlinear deadzone and other nonlinear attributes. Four graduate students will conduct research, two at the MScE level and two at the PhD level. The two MScE and one PhD will focus on developing a generic intelligent modeling scheme that can be operate offline, as well as operating in realtime during closed-loop control for many types of nonlinear systems. The second PhD student will focus on developing a generic controller capable of handling a wide range of nonlinear systems. The student will combine the intelligent modelling and control algorithms and methodologies resulting in the morphing nonlinear control strategy. The applicant expects this research program will have significant impact on providing effective control performance for tracking complex trajectories and processing conditions, providing a minimum energy path.