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Ball and beam control system is specially designed to study nonlinear control methodology on an unstable system. The point of the ball is hard to manage because it will move continuously on a beam, makes it becoming open-loop unstable. PID controller had been successfully applied for this application by previous researchers. However, incorporation of fuzzy in the system to facilitate PID tuning could...
Aiming at the problem of control inflexible and the control algorithm cannot take into account the quick adjustment and accurate control of hardware closed-loop feedback, PID or fuzzy control algorithm in battery testing system, we put forward fuzzy self-tuning PID control algorithm to control charging voltage of lithium ion battery, solving the problem of nonlinear time-varying charging system semaphore...
A stepper motor controlled tracking system is designed for microwave air bridging (MAB) for special communication antenna alignment under dynamic environment. Quick decision making on step changes leads to a successful system control. However, on aiming at the target, unstable problems may happen to the mechanics in oscillation. To improve the drawback, this paper presents a complex controller design...
The main steam temperature of power plant is a time-varying, large time delay and big interference thermodynamic objects. It is difficult to control the temperature of the supercritical main steam efficiently through the traditional PID control scheme. A fuzzy-PID control scheme is proposed in this paper. The proposed main steam temperature control system based on fuzzy-PID control scheme was built...
Sewage treatment is a complex biochemical process. Under different conditions, aeration intensity is of uncertainty. The traditional PID control strategy can not realize the optimization control. Based on the parameter of DO(dissolved oxygen), Smith-self-adaptive fuzzy PID controller is proposed. The simulation result shows that, the newly developed controller has faster response speed, smaller overshoot...
The performance of the RED algorithm depends on the variation of network traffic load. Furthermore, the queue length of the router is sensitive to the parameters configured in the RED algorithm. To address these weaknesses, this paper presents an algorithm called fuzzy self-tuning PD-RED by using the fuzzy control and proportional derivative control theory. The simulation results successfully show...
In order to overcome the parameter uncertainties, enhance the fast tracking performance of PMSM servo system, a brand-new two-dimension PED fuzzy controller, fuzzy PI+ fuzzy ED, is proposed first in this paper. The self-tuning fuzzy PI+ fuzzy ID controller is fast; computing on-line easily and can reduce stability error, especially fitting for application in the speed control of the PMSM servo system...
In this paper, Fuzzy PID and Fuzzy PD+I controller are designed for a nonlinear quarter car suspension system. The main aim of these controllers is to decrease vertical car body displacement and control signal, therefore provides more comfortable conditions for passengers. Simulation results show excellent efficiency of the proposed controller.
This paper describes the results of an application of a PDC type T-S fuzzy control to synchronous machine. The non linear mathematical model for the proposed synchronous machine adopted in this work is described by T-S continuous fuzzy models. Next, the control law for T-S fuzzy control based on PDC design is studied. The stability and the stabilisation of the whole closed-loop model are investigated...
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...
Based on the non-linear characteristic of BUCK-BOOST converter, combining with the fine part-linear characteristic of T-S fuzzy model, this paper constructs the T-S fuzzy model of the BUCK-BOOST converter under the kind of pattern which is DCM. Adopting PDC control scheme, it designs the BUCK-BOOST converterpsilas controller via CQLF method and obtains the controller parameters by using LMI method...
Using a batch learning scheme and a hybrid learning rule, i.e. BP algorithm is applied to the learning of premise parameters, while least square algorithm to the learning of consequent parameters, an ANFIS system for ship autopilot with two inputs and one output, three fuzzy zones, nine fuzzy rules is trained. Training data come from a PD course control system, then the trained ANFIS autopilot controls...
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