Morphing controllers for nonlinear systems

开发控制器以跟踪先进制造业、石化行业、可再生能源系统和航空航天中的复杂工艺条件概况(例如，加拿大ARM)是非常需要的，以便提供有效和节能的控制。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结果，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，需要改进的控制概念或方法。基于这一背景，本研究计划集中于一种独特的变形控制策略的理论推导、仿真和实际实现，以跟踪非线性系统的异常设定值曲线。虽然许多研究人员都在致力于这一蓬勃发展的研究课题，但本文的研究目标是制定一种新的控制引擎或方法来解决非线性控制问题。申请人的研究旨在形成一种通用的变形控制器，该控制器适用于处理几个非线性属性，如粘滞、滞后、饱和、操纵变量或控制运动依赖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MSCE级别，两名在博士级别。两个MSCE和一个PHD将专注于开发一种通用的智能建模方案，该方案可以离线运行，以及在许多类型的非线性系统的闭环控制期间实时运行。第二个博士生将专注于开发一种能够处理广泛的非线性系统的通用控制器。学生将结合智能建模和控制算法和方法，形成变形非线性控制策略。申请人希望这项研究计划将对提供有效的控制性能以跟踪复杂的轨迹和工艺条件产生重大影响，提供最小的能量路径。

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.