Please wait a minute...
IMAGE/TABLE DETAILS
Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter
Qi-yan TIAN,Jian-hua WEI,Jin-hui FANG,Kai GUO
Front. Inform. Technol. Electron. Eng.    2016, 17 (1): 55-66.   DOI: 10.1631/FITEE.15a0160
Abstract   HTML   PDF (1392KB)

This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter’s dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity controller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.




View image in article
Fig. 4 Experimental test rig
Extracts from the Article
In this section, we describe the experiments carried out to verify the effectiveness of the proposed controller. The experimental installation is presented in Fig. 4 and the structure of the test rig in Fig. 5. In general, the experimental equipment contains mainly the cutting velocity control system (CVCS) and the load generating system (LGS). A variable displacement axial piston pump with an external pilot oil supply was driven by a three-phase asynchronous motor which rotates at a constant speed of 1450 r/min. The displacement control of the pump was accomplished by means of a pilot servo valve with electrical feedback of the swashplate angle. Through a swashplate angle feedback, the current signal to the pilot servo valve determines the swashplate angle via the control piston and thus the pump displacement. The other servo valve controlled loading motor was used to simulate a load acting on the cutting motor and generating pressure disturbance in the motor velocity control process. The pressures of the test system were measured by pressure sensors and the angular velocity of the hydraulic motors was obtained by differentiating the angular signal which was measured by the angle encoder. A compatible PC including a 16-bit multifunction data acquisition and control card was used to acquire the sensor signals and generate control signals to the variable displacement pump and the load generating servo valve. The cutting velocity controller and the load generating controller were both implemented in the MATLAB/xPC target environment and the sampling time was 1 ms.
Other Images/Table from this Article