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Voice coil motor (VCM) is one of the linear electric machine which has faster transient response, higher accuracy. It is widely used in the field of high performance direct drive servo valve. The mathematic model of voice coil motor was analyzed and the position control system of direct driver valve that based on voice coil motor was designed. Against the disturbance in the system, a new position...
In this work is presented a design and implementation of an intelligent controller applied to dynamic systems. The main objective is to design a management intelligent system that acts in the controllers of Direct current machine (DC) and thermo-eletric control systems drives. The purpose is to evaluate the performance of algorithms for intelligent control that integrate DC and thermal actuators to...
A multivariate self-adapting decoupling control method based on CMAC and PID was proposed in this paper. The control strategy utilizes PID controller and CMAC to combine a composite controller. Using the composite controller, the strong coupled time-varying system can be decoupled and controlled easily. The doubly fed hydro-generator system is a novel type of hydraulic generation system. Considering...
This paper investigates the development and evaluation of a robust control system for a wood drying kiln process incorporating decentralized variable structure control (DVSC) such that the moisture content of lumber will reach and be stabilized at the desired set point. A description of the dynamics of the wood drying process by means of the time-delay neural network is also presented, in which the...
The traditional PID controller and the structure of the Neural Net model adaptive controller are discussed in this paper, and the infection of the parameter to the system performance is the emphasis. The step response of the system and wave symbol is gained. Corresponding control strategy is presented for the pneumatic position control system. Based on this model, compute digital simulation is completed...
Generally, networked synchronization control system is defined as the system which manages and controls the behavior of multi-devices or multi-systems synchronously to realize their synchronous work. However, in the RBF neural network, the center of RBF, the width of RBF, output weight of RBFNN have a great influence on control ability of RBF neural network, so in order to gain RBF neural network...
This paper presents a new PID controller model based on series leading correction, and its extension. By tuning the parameter(s) of the new PID controller, the controlled system's dynamic performance can be improved significantly. Not only reducing the maximum overshoot, but also shortening the setting time significantly. The results of simulations show the superiority of the new PID controller.
This paper presents the use of neural network control approaches for a two inputs -two outputs (TITO) coupled tank liquid levels with disturbances effects and set-point changes in dynamic system. Hybrid PI-neural network (hybrid PI-NN) and PID neural network (PID-NN) controllers are the techniques used in this investigation to actively control the liquid levels of coupled tank system. Unlike traditional...
As to the multi-variable, close coupling, nonlinear and time-varying characteristics of the ball mill pulverizing system, the forward NN-PID controller based on chaos PSO-BP hybrid optimization algorithms for decoupling control system of ball mill was proposed. In this controller, the control parameters of PID controller are adaptively adjusted by forward NN, the weights of NN are optimized by the...
In this paper, an adaptive nonlinear control strategy derived from a biological control system is developed and its applications to the automotive engine are presented. The biological adaptive nonlinear control strategy inspired by the functions of baroreceptor reflex is realized by a parallel controller. The controller consists of a linear controller and a nonlinear controller that interact via a...
For the performance and accuracy requirements of brushless DC motor speed control system, this paper integrates organically neural network and the traditional PID to constitute brushless DC motor speed control system based on BP neural network self-tuning parameters PID control. The traditional PID controller is used in the beginning several seconds, and then another parameter self-tuning PID controller...
This paper presents a neural network proportion integral differential (PID) controller for automatic gauge control (AGC) System of rolling mill, it is an high non-linear and time-varying system. The traditional PID controller has the invariable parameters. However in the actual factory, the environment of the controlled object is often changed. If the three parameters of PID controller can't adjusted...
Laser welding process plays a critical role in modern processing technologies. It is a typical nonlinear system which is difficult to model and control. In this paper, a laser welding system in University Kentucky is studied. At first, a SISO nonlinear discrete Hammerstein model is established for this system, the welding speed is selected as input and the welding width is output. This model is identified...
A robust adaptive PID controller is proposed for electromechanical speed control system with unknown uncertainties and external load disturbances. The robust adaptive controller is comprised of an optimal PID controller and a CMAC controller. The optimal PID controller is designed to stabilize the nominal system, and the CMAC controller is designed to compensate for the system unknown uncertainties...
In order to actualize decoupling control for nonlinear multivariate coupling system, A multivariate self-adapting decoupling control method based on CMAC and PID was proposed in this studies, and its algorithm was designed in detail. The control strategy utilizes PID controller and CMAC to combine a composite controller. Outputs of multiple same composite controllers are mapped by MIMO linear neural...
The paper describes a neuro active force control (NAFC) method that is applied to control a vertical moving mass (trolley) actuated by a fluidic muscle or pneumatic artificial muscle (PAM). The NAFC is in effect coupled to a proportional-integral-derivative (PID) controller and was practically implemented on a physical test rig that was developed in the laboratory. The effectiveness of the proposed...
Fuzzy logic controllers (FLCs) are developed to exploit human expert knowledge in designing control systems. While the fuzzy rules are relatively easy to obtain, fuzzy membership function (MF) tuning could be a time consuming exercise. In this paper the particle swarm optimization technique is employed to automatically tune the MFs of a Mamdani-type of fuzzy controller. The effectiveness of the proposed...
Design of the underwater manipulator control system is difficult due to the particularity of the work environment, high nonlinearity and strong coupling of the dynamic model. In order to improve fine performance capacity, a new compound control method based on the cerebellar model articulation controller (CMAC) is proposed, and the compound controller based on CMAC is designed. Simulation experiments...
The conventional PID controller for servo system can hardly restrain torque disturbance caused by friction and load efficiently, and it has slow respond speed. This paper introduces a compound control method for servo system based on fuzzy CMAC neural network. FCMAC neural network introduce membership function and activation intensity of memory cells, which makes the description ability of network...
This paper presents a self-adjusting fuzzy proportion integral differential (PID) controller for high non-linear, time-varying automatic gauge control (AGC) System of rolling mills. For the adjusting of the PID parameters is difficulty. The three parameters of PID controller can be adjusted adaptively on line based on the fuzzy rules. The simulation shows that the fuzzy self-adjusted PID controller...
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