Abstract
The industrial norm of tilting high speed trains, nowadays, is that of Precedence tilt (also known as Preview tilt). Precedence tilt, although succesfull as a concept, tends to be complex (mainly due to the signal interconnections between vehicles and the advanced signal processing required for monitoring). Research studies of early prior to that of precedence tilt schemes, i.e. the so-called Nulling-type schemes, utilized local-per-vehicle signals to provide tilt action (this was essentially a typical disturbance rejection-scheme) but suffered from inherent delays in the control). Nulling tilt may still be seen as an important research aim due to the simple nature and most importantly due to the more straightforward fault detection compared to precedence schemes. The work in this paper presents a substantial extension conventional to robust H∞ mixed sensitivity nulling tilt control in literature. A particular aspect is the use of optimization is used in the design of the robust controller accompanied by rigorous investigation of the conflicting deterministic/stochastic local tilt trade-off
Highlights
Tilting trains is a worldwide accepted technology concept in high speed railway transportation.It has been successfully established as a part of modern railway vehicle technology with many high-speed train services worldwide fitted with tilt [1,2,3] and an increasing interest for regional express trains as well as recently attempt to apply in metro systems [4]
In most cases of high speed tilting trains, active control is used to perform the tilting action and active tilting train systems technology has been greatly improved by the major contributions of control engineering [1,2]
The SISO advanced robust approach is extended by using optimization in tuning the related weighting f unctions for the H∞ mixed sensitivity design
Summary
Tilting trains is a worldwide accepted technology concept in high speed railway transportation.It has been successfully established as a part of modern railway vehicle technology with many high-speed train services worldwide fitted with tilt [1,2,3] and an increasing interest for regional express trains as well as recently attempt to apply in metro systems [4]. There is no depth investigation via optimization relative to tilt control interest-cost function H∞ mixed sensitivity controller design. It is proven to be difficult to achieve the trade off between deterministic and stochastic in tilt control performance via manually designed controller [7].
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