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Practical Fractional-Order Variable-Gain Supertwisting Control With Application to Wafer Stages of Photolithography Systems

Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka

2021IEEE/ASME Transactions on Mechatronics35 citationsDOI

Abstract

In this article, a practical fractional-order variable-gain supertwisting algorithm (PFVSTA) is proposed to improve the tracking performance of wafer stages for semiconductor manufacturing. Based on the sliding- mode control, the proposed PFVSTA enhances the tracking performance from three aspects: 1) alleviating the chattering phenomenon via a supertwisting algorithm and a novel fractional-order sliding surface (FSS) design; 2) improving the dynamics of states on the sliding surface with fast response and small overshoots via the designed novel FSS; and 3) compensating for disturbances via variable-gain control law. Based on practical conditions, this article analyzes the stability of the controller and illustrates the theoretical principle to compensate for the uncertainties caused by accelerations. Moreover, numerical simulations prove the effectiveness of the proposed sliding surface and control scheme, and they are in agreement with the theoretical analysis. Finally, practice-based comparative experiments are conducted. The results show that the proposed PFVSTA can achieve much better tracking performance than the conventional methods from various perspectives.

Topics & Concepts

Control theory (sociology)WaferStability (learning theory)Variable (mathematics)Tracking (education)Controller (irrigation)Sliding mode controlComputer scienceSurface (topology)PhotolithographyVariable structure controlControl (management)Control engineeringEngineeringMathematicsMaterials scienceNonlinear systemPhysicsArtificial intelligenceNanotechnologyPedagogyQuantum mechanicsMathematical analysisElectrical engineeringPsychologyAgronomyBiologyGeometryMachine learningIterative Learning Control SystemsAdaptive Control of Nonlinear SystemsAdvanced Control Systems Design
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