Morphing controllers for nonlinear systems

开发控制器跟踪复杂的加工条件概况在先进制造业，石化工业，可再生能源系统和航空航天(如。为了提供有效和节能的控制，加拿大武器公司非常需要。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，需要增强的控制概念或方法方法。基于此背景，研究计划侧重于理论公式，仿真和实际实现一种独特的变形控制策略，用于跟踪非线性系统的异常设定点轮廓。虽然许多研究人员都在研究这个蓬勃发展的研究课题，但这里的研究直接旨在制定一种新的控制引擎或方法来解决非线性控制问题。申请人的研究目的是制定一种通用的变形控制器，适用于处理几种非线性属性，如粘滞，滞后，饱和，被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，两名硕士研究生和两名博士研究生。两个MScE和一个博士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，也可以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各种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，从而产生变形的非线性控制策略。申请人期望该研究项目将对提供跟踪复杂轨迹和处理条件的有效控制性能，提供最小能量路径产生重大影响。

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.