Tension Control System Design of a Filament Winding Structure Based on Fuzzy Neural Network
نویسنده
چکیده
Article history: Received 30.08.2013. Received in revised form 04.12.2013. Accepted 12.12.2013. Filament winding products are widely used due to their quality, high strength and a series of advantages in the industrial areas. The process involves winding filaments under varying amounts of tension over a male mould or mandrel. The tension control product has become the most important object in the process. This study describes the tension force control of filament winding with fuzzy neural network controller design and its application to fiber reinforced plastics. The controller produces the error of the closed loop control system response and the actual system output for the desired tension system, instead of ordinary PID adjustment mechanism. Dynamic performance analysis of a traditional PID controller and fuzzy neural network controller is performed in detail using simulation and experiments. The results show that the system can not only exhibit desired dynamic performance but can also adapt to the wide range of speed and tension force changes by a proper servo motor and winding operation. This study provides the primary theoretical guide for the configuration design, optimization and control research of the FNN applications to industrial winding process.
منابع مشابه
Governor design for hydropower plants by intelligent sliding mode variable structure control
This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. Considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. By linearizing this mode, a sliding mode controller is designed. The linearized mode is subject to uncertainties. The uncertainties are generated in the process of linear...
متن کاملOn the Mechanical Analysis and Control for the Tension System of the Cylindrical Filament Winding
The constant winding tension can make the filament arranged in order. The stress distribution between the filament balance fully gives play to the enhancement of filament, and increases the intensive workload of the composite winding material. This paper conducts the mechanical analysis for the unwinding roller and tension measuring roller of the cylindrical winding machine so that gets the mec...
متن کاملUtilizing a new feed-back fuzzy neural network for solving a system of fuzzy equations
This paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. Our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. This architecture of articial neural networks, can get a real input vector and calculates its corresponding fuzzy o...
متن کاملA New Recurrent Fuzzy Neural Network Controller Design for Speed and Exhaust Temperature of a Gas Turbine Power Plant
In this paper, a recurrent fuzzy-neural network (RFNN) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. Since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...
متن کاملNeuro-fuzzy control of bilateral teleoperation system using FPGA
This paper presents an adaptive neuro-fuzzy controller ANFIS (Adaptive Neuro-Fuzzy Inference System) for a bilateral teleoperation system based on FPGA (Field Programmable Gate Array). The proposed controller combines the learning capabilities of neural networks with the inference capabilities of fuzzy logic, to adapt with dynamic variations in master and slave robots and to guarantee good prac...
متن کامل