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SummaryAutomation of digging processes is a way to improve building efficiency and prevent workplace accidents. The objective of this study was to develop an intelligent excavator by means of virtual prototyping technology which takes working disturbances into consideration. Firstly, a multi-body simulation model (MBS) was developed to investigate the excavator behaviour and reaction forces with respect to soil characteristics. Subsequently, an adaptive sliding-mode PID controller with a fuzzy compensator (ASMPIDF) was proposed to perform autonomous functions. Finally, a co-simulation of the mechanical model and the virtual controller was conducted to derive adaptive trajectories of the excavator joints. The low simulated values of overshoot, settling time, and steady-state error demonstrate that the proposed approach is feasible and effective in developing intelligent behaviours of the excavator. Therefore, this study is expected to contribute to digging processes to become safer and more efficient.

Nowadays, a strategy of the self-optimizing machining process is an imperative approach to improve the product quality and increase productivity of manufacturing systems. This paper presents a concept of self-optimizing forming system that allows the forming system automatically to adjust the forming parameters online for guarantee the product quality and avoiding the machine stop. An intelligent monitoring system that has the functions of observation, evaluation and diagnostic is developed to evaluate the pully quality during forming process. Any abnormal variation of forming machining parameters could be detected and adjusted by an intelligent control system aiming to maintain the machining stability and the desired product quality. This approach is being practiced on the pully forming machine for evaluating the efficiency of the proposed strategy.

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