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In considering the saturation and dead zone nonlinearity as well as the time-variability and the time lag existed in direct drive volume control system, the traditional PID controller has the problems of parameter tuning difficulty and poor adaptability. This paper sets up a fuzzy PID control algorithm by pulling in fuzzy control theory, which realizes self-tuning PID parameters and effectively weaken...
Considering the atrocious load property when the rocket is launched, including the huge variation of load inertia, unbalanced torque and the disturbance from the air current impulsion, an optimal PID position controller based on improved Elman network is presented. The context neurons of output layer are added to the original Elman network, and self-feedback gain coefficients are trained as connective...
Mathematic model of electro-hydraulic pressure servo test bench was obtained based on xPC technique. In order to improve the tracking performance of the pressure servo system a new nonlinear hybrid controller was developed according to the mathematic model, which composed of a classical PID controller and a fuzzy controller based on self-adjusting modifying factor. And interpolation method was used...
A hybrid fuzzy control scheme was applied to improve the rigidity of hydrostatic thrust bearing. The bearing oil film control was realized by coupling oil film thickness of four controllable chambers. The chamber flow can be regulated by electro hydraulic servo valve-control variable pump according to the surface roughness, load, cutting force, and thermal effects of worktable. The nonlinear hybrid...
Friction exists in all motions, and friction is the key factor that influences the low velocity performance of servo systems. It usually caused the steady-state error of servo systems and resulted in the creeping phenomenon in low velocity motions. Friction is complicated nonlinear process with time-varying uncertainties. The traditional PID controller of servo systems with fricition was not satisfactory...
Directing to the nonlinear factors existed in hydraulic servo system, this paper focuses on fuzzy PID controller whose scaling factors and membership functions are optimized by evolutionary algorithm simultaneously to achieve high performance. With the improved genetic algorithm of sub population and dynamic time variant mutation, evolutionary algorithm can search the optimal state effectively. The...
Adaptive PID controller based on back propagation(BP) neural network has many merits like that simple algorithm of PID controller and self-study and adaptive functions of neural network. According the requirements of system output performance, the BP neural network can autoadjust its weights to vary kp, kj and kd. The simulation adjust its weights to vary k results of an electro-hydraulic position...
At present, controller design of industrial processes with long time-delay is still a difficult problem. Furthermore, the time-varying and nonlinear features, which enhance the difficulties, are often encountered in the processes. According to analyzing the characteristic of a human-simulated intelligent controller (HSIC), the schema of the HSIC is proposed to deal with the processes of long time-delay,...
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