Abstract
Because of increasing reliability requirements of the applications in industrial areas, the control systems must guarantee the stability and robustness during operation and continuously maintain control and supervisory process. In order to meet the above requirements, this study proposes a redundant recurrent cerebellar model articulation control system (RRCMACS) for controlling industrial applications, in particular the water level and the pressure in a tank. Therein, the stability and the robustness of the applications are guaranteed by the recurrent cerebellar model articulation controller (RCMAC) and the redundant solution maintains continuously control and supervisory process. To adapt industrial applications, a Programmable Logic Controller (PLC) was used to build the control system and industrial networks were used to transfer data between the control system and field devices.
Highlights
Stability control of level and pressure in a tank are crucial tasks in industrial applications [1,2,3]
This paper proposes an recurrent cerebellar model articulation control system (RRCMACS) to achieve the desired responses and continuously maintain control and supervisory process
All processes are performed by the control stations via the DeviceNet network
Summary
Stability control of level and pressure in a tank are crucial tasks in industrial applications [1,2,3]. Model-based controllers cannot achieve the desired performances [8,9,10] To overcome these disadvantages, advanced controllers such as fuzzy logic controller (FLC) [11, 12], sliding mode control (SMC) [13, 14], neural networks (NN) [15, 16], and wavelet neural network (WNN) [17,18,19,20,21] have been developed and have achieved impressive results in dealing with uncertain systems. The recurrent cerebellar model articulation (RCMAC) is designed to keep the stability and the robustness, and the redundant solution aims to maintain the continuous working of the control system. To meet the requirements of the industrial area, the PLC was used to build the control system and industrial networks were used to transfer data between the control system and field devices
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