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This paper presents the design, development and implementation of an automation system of batch process suitable for vulcanization accelerator production applications. The unique feature of the accelerator production process is that it has complex nonlinear, time-varying and large time-delay characteristics. Based on its kinetics characteristics and technical analysis of the batch process, adaptive...
The resin abrasive products hardening furnace is important electric heating equipment. The hardening furnace is a controlled object with time delay and non-linear characteristics, and the temperature has a one-way nature. So it is difficult to establish its accurate mathematical model. Because the conventional PID regulator has fixed parameters, the control effects are often poor. In this paper, the...
The safety and comfort control of vehicles in certain cases is considered in this paper. We hope to use detectors plus advanced control methods to realize the satisfactory tracking control, even the proper velocity and acceleration control of vehicles. Because of the intrinsically nonlinear, highly plant uncertain of vehicles and closely interconnected among vehicles, here the method based on the...
Due to the influence of nonlinear dynamic characteristic of electronic throttle, time delay, external disturbance and parameter variation, the opening of electronic throttle is hard to control precisely. A fuzzy immune adaptive PID control is presented based on the immune feedback regulating law and the adaptive ability of fuzzy logic ratiocination. The model of the electronic throttle system is built...
The control system of AFPT (air flow pressure and temperature) pilot plant has been used successfully to demonstrate the design of some controllers such as PID, cascade PID and fuzzy logic controller. It is important to develop a gas density control system in the AFPT pilot plant since gas density is one of the gas properties which need to be set precisely in few processes. The control system is designed...
This paper develops an adaptive controller for (wireless) networked control systems by combining delay estimation and a jitter margin based PID controller tuning. A control system with wireless measurement is assumed, where the network induces delay jitter. Two delay jitter estimation algorithms are developed, with a method for selecting only valid delay estimates. The delay jitter adaptive PID controller...
A single-neural identification-free adaptive intelligent controller based on grey prediction is developed for multi-input and multi-output(MIMO) system with time-delay. The basic method is that the MIMO system is decomposed into a set of multi-input-single-output subsystems. The decoupling problem of MIMO system is solved by a set of grey model GMC(1,n), which is used to approximate the MIMO system...
Through introducing 1/1 pade series to approximate the time delay unit and using the two steps design approach, the internal model control system can be changed into conventional PID unity feedback control system. Then used fuzzy inference to tune the PID parameters online, the fuzzy self-tuning PID internal model controller is realized. This controller combines the advantage of fuzzy control, internal...
In this paper, a new design method of adaptive PID controller is proposed. The method utilizes the characteristics of almost strict positive realness (ASPR) of the plant so that the stability of the adaptive PID control system is guaranteed by the use of K-Y lemma and Lyapunov's stability theorem. An application of the proposed design concept to a practical design of tracking PID control system is...
In this paper, we address an end-to-end congestion control algorithm for the available-bit-rate (ABR) traffic in high speed asynchronous-transfer-mode (ATM) networks. A fuzzy immune PID controller is designed to overcome the adverse effect on ATM network caused by uncertainties such as the number of users, the available-bit-rate bandwidth, and the transmission propagation delays. Further, an algorithm...
This paper presents a generalized predictive controller based on RBF neural network (RBF-NN) for a class of nonlinear system with time delay. The procedure of the proposed control system includes two parts: RBF-NN modeling and predictive control algorithm design. The RBF-NN model can predict future outputs of the plant and the predictive value can be amended online, which allows it to employ to complex...
PID neural network controller design for Sharif University of Technology (SUT) building energy management system (BEMS) is addressed in this paper. The most important characteristics of process systems are time delay with model uncertainties. Artificial neural networks can perform adaptive controller properties through learning processes. PID neural network has the advantage of both conventional PID...
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