Iterative Learning Active Flow Control Applied to a Compressor Stator Cascade With Periodic Disturbances

Abstract

This contribution presents the capability of iterative learning active flow control to decrease the impact of periodic disturbances in an experimental compressor stator cascade with sidewall actuation. The periodic disturbances of the individual passage flows are generated by a damper flap device that is located downstream of the trailing edges of the blades. These mimic the throttling effect of periodically closed combustion tubes in a pulsed detonation engine. For the purpose of rejecting this disturbance the passage flow is manipulated by fluidic actuators that introduce an adjustable amount of pressurized air through slots in the sidewalls of the cascade. Pressure sensors that are mounted flush to the suction surface of the middle blade provide information on the current flow situation. This data is fed back in real-time to an optimal iterative learning controller. By learning from period to period the controller modifies the actuation amplitude such that, eventually, a control command trajectory is calculated that reduces the impact of the periodic disturbance on the flow in an optimal manner.

Improved D‐Type Anticipatory Iterative Learning Control for a Class of Inhomogeneous Heat Equations

“…Li (corresponding author, e-mail: xuefangli@u.nus.edu) is with Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore. differential-difference-type ILC scheme is proposed for stretched string systems in [18,19], where the stability maintenance of mechanical processes is the main concern; [10,[20][21][22][23] extend the idea of ILC to active control of fluid flows in wind turbine, combustor, etc. As applications of ILC, [10,[20][21][22][23] mainly focus on the verification of ILC schemes via experiment or simulation, thus less algorithm analysis being involved.…”

“…This work is a complement to our previous publication [1], which aims at providing a practical ILC scheme and its convergence analysis for the boundary tracking control of a wide class of heat transfer systems, hence is different from [5,10,[13][14][15][16][17][18][19][20][21][22][23]. The heat control problem has been frequently encountered in many industrial or chemical processes, e.g., indirect heating of liquids and polymers, single-fluid batch processing, pipeline tracing, and ebullient cooling.…”

“…In recent years, more and more attention has been put towards the studies of ILC for distributed parameter systems (DPSs) governed by partial differential equations (PDEs). For instance, ILC design and convergence analysis for linear and nonlinear parabolic type of DPSs is addressed in , where the control input is with a distributed manner; Augmented with PID controllers, a differential‐difference‐type ILC scheme is proposed for stretched string systems in , where the stability maintenance of mechanical processes is the main concern; extend the idea of ILC to active control of fluid flows in wind turbine, combustor, etc. As applications of ILC, mainly focus on the verification of ILC schemes via experiment or simulation, thus less algorithm analysis being involved.…”

“…This work is a complement to our previous publication , which aims at providing a practical ILC scheme and its convergence analysis for the boundary tracking control of a wide class of heat transfer systems, hence is different from . The heat control problem has been frequently encountered in many industrial or chemical processes, e.g.…”