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The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the process is next proposed, and the parameters of the linear model are obtained from an optimization problem solved by a Gravitational Search Algorithm. A PI controller is designed for...
The establishment of mathematical model of electric vehicle(EV) driving system combines balance equation of vehicle movement with equation of mechanical characteristics of direct current (DC) motor. Fuzzy PI control strategy optimizes the model and simulates the model with Simulink software. Simulation results show that the mathematical model of EV driving system can reflect operating condition of...
So far, most of the proton exchange membrane fuel cell (PEMFC) models are difficult to apply in the control system design. In this paper, a dynamic control model of PEMFC system is set up. Based on this model, a self-adaptive fuzzy PID controller and a PID controller are respectively used to control the output voltage. The simulation results show that, this adaptive fuzzy PID controller can control...
Under the control object and the structure of control system built, we set the range of parameters and the objective function and get the best parameters of PID control of the system by genetic algorithm, making use of MATLAB we can do the modeling and simulation of the PID control and fuzzy control. The results of simulation show that the dynamic response of fuzzy control is faster than PID control...
The BTT flight control system design is researched and established for flight vehicle control mathematical model, control gain solution and mathematical simulation. Firstly, the design of BTT flight control system is put forward, and then a linear controller is designed with fuzzy control theory. Secondly, the flight vehicle's characteristic is analyzed, and the disturbance model is set up. The Frequency-domain...
The nonlinearities of ultrasonic motors (USMs) vary with driving condition and load-dependent characteristics such as the dead zone. Therefore, modeling and control of USMs are a difficult and challenging task. In this paper, the identification of the rotary traveling-wave type ultrasonic motor (RTWUSM) with dead-zone by means of Fuzzy Hammerstein model is proposed. The obtained model is used in model...
The purpose of this research is to optimize control and enhance performance for a variable speed constant frequency (VSCF) doubly-fed induction generator (DFIG) wind turbine generation system by using fuzzy logic controller. The control of the rotor-side converter is realized by stator flux oriented control and the fuzzy controller performs robust speed control. The control of the grid-side converter...
To accomplish the demand of minimum fuel consumption and good power performance for continuously variable transmission (CVT) car. Aiming at the whole vehicle model including the engine, the clutch and the CVT, the dynamics mathematical model of CVT system is established according to different stages of clutch engaging, that the dynamic integrated simulation model is developed. A parameter self-adjusting...
The fuzzy controller with neural network is proposed in this paper, this system consists of a fuzzy neural network controller and a model identification network, the fuzzy neural network controller is optimized by the offline genetic algorithm of global searching ability, and the online BP algorithm ability of local searching. The detailed control algorithm is given, the algorithm of system identification...
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