This study aims to develop a X-Y dual-axial intelligent servo pneumatic-piezoelectric hybrid actuator for position control with high response, large stroke (250 mm, 200 mm) and nanometer accuracy (20 nm). In each axis, the rodless pneumatic actuator serves to position in coarse stroke and the piezoelectric actuator compensates in fine stroke. Thus, the overall control systems of the single axis...

The novel approach to the intelligent greenhouse control is based on predictive thermal models and actuator action plans to increase control performance. As operating the actuators essentially changes the thermal dynamics, the overall thermal model is decomposed into sub-models based on the state of the actuators. For the intelligent control it is essential to know the actuator configuration to...

A cognitive intelligent approach to the control of an electromechanical positioning actuator using Tendentious Vague Sets (TSets) is presented. The electromechanical positioning actuator prototype discussed is essentially a position control system whose constitutive elements are a PC based control unit, a Direct Torque Control (DTC) inverter and an induction motor. A generalisation of the fuzzy...

Recently, the intelligent services demands interactions with the sensor networks, actuator networks, and context aware applications. Actuator network supports an infrastructure to have an immediate access to information for controlling the physical world and its objects using sensor networks and context aware applications. Actuator network middleware supports the command message transfer for co...

In the paper, we interest to smart actuators. External model has been defined in order to improve behavioural of actuator in presence of failures. The external model requires information from Fault Detection and Isolation algorithms. To complete the information providing to the users, we associate bond graph methodology to the external model in order to complete the information with physical kn...

This paper introduces the application of the hybrid approach Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification and diagnosis in industrial actuator. The ANFIS can be viewed either as a fuzzy inference system, a neural network or fuzzy neural network (FNN). This paper integrates the learning capabilities of neural network to the robustness of fuzzy systems in the sense that ...

The objective of this paper is to present the methods of development and study of control law of rodless pneumatic actuator with fuzzy regulator in order to improve the accuracy of the pneumatic drive carriage positioning. The basis for improving the accuracy of positioning of the pneumatic actuator is the Intelligent Control System.

This paper introduces the application of the hybrid approach Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification and diagnosis in industrial actuator. The ANFIS can be viewed either as a fuzzy inference system, a neural network or fuzzy neural network (FNN). This paper integrates the learning capabilities of neural network to the robustness of fuzzy systems in the sense that ...

Robotic exoskeleton is getting important to human in many aspects such as power assist, muscle training, regain motor function and rehabilitation. The research and development towards these functions are expected to be combined and integrated with the human intelligent and machine power, eventually becoming another generation of robot which will enhance the machine intelligent and human power. ...