Effect of Operating Point Selection on Non-linear Experimental Identification of iSTC–21v and TKT–1 Small Turbojet Engines

Abstract

Abstract

Virtual Design of Advanced Control Algorithms for Small Turbojet Engines

“…In order to design and test an adaptive control scheme for a turbojet engine, a generalized dynamic turbo-compressor model based on available data of the turbo-compressor TJ/TP 100 engine has been developed. The model also includes a dynamic actuator model and together with a non-linear approximation of speed/altitude characteristics [18,19,20].…”

“…The model can be expressed as the following transfer function after Laplace transformation: The first order transfer function is able to approximate the dynamics of the engine with sufficient precision [2,18], its complexity is hidden mainly in the non-linear characteristics of its Ke and Te variables. Both reflect the changes in outer environmental conditions and the engine's state conditions.…”

“…In order to show the advantages of adaptive and multi loop control in the area of small turbojet engines a non-linear simulation model has been developed taking in account altitude and velocity parameters and their influence on a small turbojet engine. The article covers a practical approach in adaptive controller design using a generalized non-linear engine model and shows advantages of such approach in control of small turbojet engines compared to traditional control approaches using fixed parameters PID controllers with limiters [7,17,18]. This practical approach is contrary to often presented results, which are only concepts or strictly simulation results [4,5,15,17].…”

Intelligent Situational Control of Small Turbojet Engines

“…In order to compute parameters of these regulators, linearized dynamic models of the iSTC-21v engine have been used as well as nonlinear dynamic models used for testing and tuning as described in [47]. The simplest controller of these is the idle regime controller designated as C 6 .…”

“…In order to tune the controller, ZieglerNichols algorithm has been used [49], as the engine is a nonlinear system with complex dynamics and hysteresis. Individual C i controllers have been afterwards validated using a simulation nonlinear model based on transfer functions obtained by means of experimental identification [47], with follow-up experimental tuning of the computed PID coefficient during operation of the engine in the region of ±5% from the computed design point. The resulting acceleration controller has the following transfer function:…”