Fuzzy MRAC controller design for vane-type air motor systems

Abstract

Air motors are widely used in the automation industry due to special requirements, such as spark-prohibited environments, the mining industry, chemical manufacturing plants, and so on. The purpose of this paper is to analyze the behavior of a vane-type air motor and to design a model reference adaptive control (MRAC) with a fuzzy friction compensation controller. It has been noted that the rotational speed of the air motor is closely related to the compressed air's pressure and flow rate, and due to the compressibility of air and the friction in the mechanism, the overall system is actually nonlinear with dead-zone behavior. The performance of the previous controllers implemented on an air motor system demonstrated a large overshoot, slow response and significant fluctuation errors around the setting points. It is important to eliminate the dead-zone to improve the control performance. By considering the effects of the deadzone behavior, we have developed an MRAC with fuzzy friction compensation controller to overcome the effect of the dead-zone. The following experimental results are given to validate the proposed speed control strategy.

Backstepping sliding mode tracking control of a vane-type air motor table motion system

“…As a result, conventional PID feedback controllers [1,2] are not so effective even for position control. There have been a number of investigations and analyses of the dynamics of vane-type air motors [2][3][4][5] carried out to date, most for different types of control, like PID control [2], MRAC [3], and sliding mode control [5]. In * Corresponding author.…”

“…The air pressure entering the air motor will decrease in a non-regular fashion due to the various volumes of the two vanes. To counteract these uncertain behaviors and eliminate the dead zone caused by friction, modelreferencing adaptive control (MRAC) with fuzzy control [3] proposed. Fuzzy rules combined with sliding mode control are used in the aforementioned study [5] to improve the steady response and build robustness with an air motor ball screw table.…”

Road-frequency adaptive control for semi-active suspension systems

“…Compared with passive suspension systems, fully active suspension systems provide improved performance over a wide range of frequencies. Hence, it has been studied by various researchers [1,3,[11][12][13][14][15][16][17][18]. However, fully active suspension systems have the disadvantages of complexity, high cost and high-energy consumption.…”

Dynamic analysis and fuzzy logic control for the vane-type air motor

“…In the defuzzification process, these results are used to calculate the physical control inputs, such as voltages, currents, and so on. In [13], the mode reference adaptive control (MRAC) is proposed with fuzzy control to eliminate the dead-zone caused by friction in an air motor system. The experimental results showed that the MRAC could be tracked and that an accurate speed control performance was attainable.…”