Cheng Yinman

The Forward NN-PID Controllers Based on Chaos PSO-BP Hybrid Optimization Algorithms for Decoupling Control System of Ball Mill

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 mixed learning methods integrating the offline PSO algorithm combined with chaos strategies of global searching ability, with the online BP algorithm of local searching ability. The results of simulation of Matlab/Simulink show that the hybrid optimization algorithms could solve some problems effectively, such as BP algorithm or PSO algorithm with slow convergence rate and falling to partial minimum easily, and the new control method has better quality than the traditional PID decoupling control method, it has fast tracking ability, strong robustness, good decoupling ability, and it can solve the time-varying problem and the coupling problem of ball mill effectively.

Model-Free Adaptive Control Method for Nuclear Steam Generator Water Level

Nuclear steam generator is a highly complex, nonlinear, non-minimum phase and time-varying system, which is caused by the swell and shrink effects. So the control of the steam generator water level is very difficult. Conventional double PI control method can not reach a good performance. There are many methodologies applied to water level controller design. But many methodologies are model based, as we all known, model-based methods cannot offer a satisfactory control for steam generator water level since the system is very complex. In this paper, Model-Free Adaptive Control (MFAC) is applied for the steam generator water level control. The MFAC has received much attention as a powerful tool for the control of industrial process systems. Simulation results show the effectiveness and the good performance of the method.

Design and Implement of Responder Based on Freescale HCS12 Single Chip Microcomputer

An 8-channel responder based on Freescale HCS12 single chip microcomputer is designed. The responder can display the number of the first player correctly. It also can count the scores and show the player with the highest score. The system includes four modules: CPU12, the SCI serial communication, digital display tube and timer. When competition signal input, it is been caught and then cause interruption, the timer is used to time accurately, the serial port is used to send and receive the start answer signal, judgment signal and other signals, the digital display tube is used to show the scores of the current player. LCD display tube shows subjects and answers. So the basic functions of the responder are achieved.

Simulation Study on Model Free Adaptive Control Based on Grey Prediction in Ball Mill Load System

The load object of ball mill in thermal power plant has complex traits that are large time-delay, slow time-varying, strongly nonlinear, etc. It is difficult to obtain satisfactory control performance using conventional control methods. The model-free adaptive control method based on grey prediction was introduced to control ball mill load in this paper. This method combined the adaptive, anti-interference features of model-free control with the time-delay prediction, overshoot suppression, rapid stability of grey prediction model, the measured output value of load object was replaced by the predicted result of grey model, then, the model free adaptive control was used for close-loop control. The simulation results show that the control method has fast response, small overshoot, good robustness, strong anti-interference ability, it can effectively solve the large time-delay, nonlinear and adaptive problems.