Article ID Journal Published Year Pages File Type
5004558 ISA Transactions 2015 11 Pages PDF
Abstract

highlights•Boiler-turbine unit with nonlinearity, modeling imprecisions and external disturbances.•Design of robust adaptive sliding mode controller (RASMC) and type-I servo controller.•Input-output linearization to handle the coupled nonlinearities and zero dynamics.•Robustness and stability of RASMC is proved via Lyapunov stability theory.•RASMC guarantees perfect control in regulation and tracking objectives of the power grid.•Performance, pros and cons of RASMC and classical type-I servo controller are compared.

To guarantee the safety and efficient performance of the power plant, a robust controller for the boiler-turbine unit is needed. In this paper, a robust adaptive sliding mode controller (RASMC) is proposed to control a nonlinear multi-input multi-output (MIMO) model of industrial boiler-turbine unit, in the presence of unknown bounded uncertainties and external disturbances. To overcome the coupled nonlinearities and investigate the zero dynamics, input-output linearization is performed, and then the new decoupled inputs are derived. To tackle the uncertainties and external disturbances, appropriate adaption laws are introduced. For constructing the RASMC, suitable sliding surface is considered. To guarantee the sliding motion occurrence, appropriate control laws are constructed. Then the robustness and stability of the proposed RASMC is proved via Lyapunov stability theory. To compare the performance of the purposed RASMC with traditional control schemes, a type-I servo controller is designed. To evaluate the performance of the proposed control schemes, simulation studies on nonlinear MIMO dynamic system in the presence of high frequency bounded uncertainties and external disturbances are conducted and compared. Comparison of the results reveals the superiority of proposed RASMC over the traditional control schemes. RAMSC acts efficiently in disturbance rejection and keeping the system behavior in desirable tracking objectives, without the existence of unstable quasi-periodic solutions.

Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
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