In this paper, simple adaptive control schemes based on Model Reference Adaptive Systems (MRAS) algorithm are developed for the asymptotic output tracking problem with changing system parameters and disturbances under guaranteeing stability. The adaptive adjusting law is derived by using Liapunov theory. The direct and indirect adaptive schemes are proposed that constantly adjust the gains in the controllers and/or observers. The adaptive algorithm that is shown in this study is quite simple, robust and converges quickly. Performances of the controlled systems are studied through simulation in Matlab/Simulink environment. The effectiveness of the methods is demonstrated by numerical simulations.

The aim of this paper is to develop advanced controllers for electromechanical motion systems. A new controller is proposed to take into account the inherent nonlinear disturbances, measurement noise, and variations and uncertainties in process behavior. It consists of a Linear Quadratic Gaussian (LQG) controller and a separate supplementary MRAS-based Learning Feed-Forward Controller (LFFC). Instead of design that is based on a fixed mathematical model of the process, the optimal steady-state filter gain in the Linear Quadratic Estimator (LQE) and the feedback gain in the Linear Quadratic Regulator (LQR) can be determined based on the parameters of the feed-forward part, which follows continuously the process at different load conditions. This will result in "an adaptive LQG combined with the MRAS-based LFFC". Simulation results demonstrate the potential benefits of the proposed method.  Index Terms-model reference adaptive systems (MRAS), linear quadratic gaussian (LQG), learning feed-forward control (LFFC), motion control systems

Nowadays, biomass has become one of the renewable energy sources might be filled for the lack of energy in the world. Gasification of biomass in general and of rice husk in particularly has attracted many researchers in Viet Nam. The rice husk gasification experimental study has been done with the GEK 20 kW device which is developed by All Power Labs, USA. The air flow rate from 2 to 4 m 3 /h is applied in gasifier. A portable infra-red syngas analyzer is used for simultaneous measurement the concentrations of CO, CO 2 , CH 4 , H 2 and O 2 of the syngas and for calculation of the heating energy. The effect of air flow rate on temperature, syngas composition, and biochar is analysed and it indicates that the temperature in the combustion area and the content of hydrogen and carbon monoxide in the gas increase when the air-flow rate rises. In contrast, the yield of biochar is decreased.

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