Papers by Keyword: Fuzzy Control

Abstract: For the control of greenhouse environment parameters, a combined control system of the temperature and humidity inside the greenhouse according to the fuzzy control theory is design, which is of distributed control structure. The whole control system is divided into upper computer (personal computer) and the lower machine (SCM). Upper machine and lower machine adopt the Modbus fieldbus to communicate, which can effectively improve the efficiency of communication, to ensure accurate communication. Tracking control of temperature and humidity in the control system uses fuzzy control technology, which can effectively summarize and utilize human control experience, and regulate the environmental parameters according to need of crop growth automatically. Finally, through experiment, it is proved that the control system has achieved the anticipated target.

Abstract: An adaptive fuzzy controller for dynamic positioning (DP) system is designed. The controller utilizes Backstepping algorithm as the adaptive law and uses a fuzzy system for approximating the disturbances and uncertainties. The proposed adaptive fuzzy controller is proven to be uniform bounded in the sense of Lyapunov. Simulation results show that DP vessel with the adaptive fuzzy controller would be more adaptive with environmental interference and ship parametric uncertainty.

Abstract: PI control strategy was introduced into rotor side converter of DFIG control with the mathematical models and the structure of stator flux-oriented vector control. As the main problem of conventional PID controller with parameters fixed in the whole control process, and influence of three PID control parameters can not be distinguished between different stages, so, the adaptive fuzzy PID control was introduced into RSC control system. The parameters were tuned by adaptive fuzzy control, the design of membership was designed and the control feature was verified with simulation.

Abstract: Airbags tension as an important part of quality assurance which is produced in the airbag roll debice. In this paper, an adaptive reinforcement learning method ,which is based on Agent ,is used to achieve real-time coordination of two servo motor. The results show that the system has a good dynamic and static characteristics, and which can ensure the constant tension of the airbags and product quality.

Abstract: Good settling properties of red mud are one of what contribute to smooth production of alumina. Many manufactories still adopt manual control on taking quantitative flocculants to control clarity of clear solution. This paper mainly studies a Genetic Algorithm-based adaptive fuzzy control device based on fuzzy control and genetic algorithm, and also focus on analyzing adaptive fuzzy control of clarity of clear solution, through the test of overflow, baseflow and a flocculants addition as adjustment method. From the results of control, the system can get a better control response, which satisfies the requirements of practice works, compared with ordinary PID control.

Abstract: In order to recycle part of the brake energy in the driving hub motor of the 8X8 electric vehicles. And the energy utilization rate of electric drive vehicles should be increased, the wear of mechanical brake system should be reduced. A fuzzy control method is established for mechanical and electrical joint brake. It can be used to establish a principle of the distribution of brake. Through the simulation on MATLAB platform, it shows that this control method is efficient in improvement of brake ability, distribution of brake distribution, and the energy recycling.

Abstract: Regarding to the electric vehicle (EV) with dual-energy storage system (DESS) composed of batteries and ultra-capacitors, study on the structure and drive modes of DESS, after a detailed analysis of energy storage system based on power, resistance and constraints in driving, establish a mathematical model of energy management system of EV with DESS, and an energy management based on the fuzzy control strategy is designed. Finally, a simulation of EV with DESS by using ADVISOR simulation platform is studied, whose results show that the EV with DESS based on fuzzy control strategy can be more effective in distributing power between energy storage systems, and the dynamic performance as well as economic efficiency are also improved

Abstract: The variable tension control system of strip winding is a nonlinear, strong coupling and time-varying system. Traditional fuzzy controller with fixed control rules cannot obtain the desired control performance of the strip winding system. So the fuzzy control algorithm with adjustable factor α is proposed, and the introduction of adjustable factors can change the fuzzy control rules. The tension fuzzy controller with adjustable factor α is designed, and simulation model of the system is established using Matlab software. The result of simulation shows that tension fluctuation of the tension fuzzy control system with adjustable factor get small, comparing the tension fuzzy control system with adjustable factors with the ordinary tension fuzzy control system. The tension fuzzy control system with adjustable factors has fast system response and strong anti-interference ability.

Abstract: This paper demonstrates a new strategy for accelerating FPGA realization which is integrated design from model to automated HDL code generation, and it’s applied to a design of Takagi-Sugeno fuzzy logic control (FLC) Systems on vehicle autopilot based on FPGA. The system designed by this strategy accurately guides vehicle to the destination by controlling size and angle of speed.

Abstract: In order to overcome the shortcomings of traffic signal fixed-time control method, a fuzzy control algorithm for urban traffic signal is proposed. The signal phase switching order is adjustable. The improved quantum particle swarm optimization(QPSO) is also introduced to optimize fuzzy control rules of traffic signal controller. Take four-phase traffic signal commonly used in current practice for example. Compared with traffic signal fixed-time control and single fuzzy control method, the control method put forward in this paper can reduce the vehicles’ average delay time in junction. The simulation results show that the proposed algorithm is proved to be an effective and practicable method for urban traffic self-adaptive control.