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In order to eliminate steady-state errors and chatter caused by quantization error of the conventional fuzzy controller, based on the self-adjustment of quantified proportionality factors fuzzy controller, this paper establishes the flexible fuzzy controller, and can achieve the online parameters self-adjusting function. This method is used in inflation process of pneumatic membrane structure, which...
This article introduces the make-up and principle of intelligent wheat dampen control system, establishes system mathematical models, analyses PID control and the fuzzy roles of parameter on-line dynamic self -tuning, develops a fuzzy PID controller.
This paper describes a fuzzy control system and simulation for ultrasonic motors. Although ultrasonic motor has much merit, such as small size, light weight, high precision, fast control dynamics and large driving force when low speed, etc. However, the nonlinear dynamic characteristic and the accurate mathematical model is difficult to obtain. So the traditional control method is almost no effect...
In this paper, based on parameter self-tuning fuzzy PID controller, a fuzzy inference method is utilized to realize automatic regulating PID parameter, and the application of the controller in a system is studied with MATLAB. The results of simulation indicate that the controller gives a good control performance and has a high reference value for further applications.
Adaptive cruise control (ACC) system is a Driver assistant system, which can provide safe and comfortable driving. Based on the analysis of ACC system, a parameter self-tuning fuzzy-PID algorithm is developed to design the ACC control strategy. According to the traffic condition, the parameters of PID controller are adapted on-line by fuzzy rule. The simulation results show that the parameter self-...
The permanent magnet synchronous motor (PMSM) is increasingly playing an important role in alternating current(AC) transmission system. Recently, lots of researches have been investigated for the PMSM system without speed and position sensors. The Vector-control system based on fuzzy self-tuning PID is proposed in this paper. The new algorithm based on fuzzy self-tuning PID can improve the performance...
This paper presents a modified particle swarm optimization (MPSO) algorithm to design an optimal multi input multi out (MIMO) fuzzy logic controller for a cement mill process. The membership function, rule base and the scaling factor of the multi input multi output FLC is tuned for optimal control performance using MPSO by minimizing the Integral absolute error for minimum and maximum operating setpoints...
Summary form only given. Much of the commercial success of fuzzy logic as used in fuzzy logic systems (FLSs) is due to extrinsic properties of the fuzzy logic, namely to the systems with defuzzification. Since the first engineering application pioneered by Mamdani, until now, FLS control systems are mere function approximators and interpolators conveniently and intuitively built using FLSs. The same...
In this paper, a nonlinear control system using a fuzzy self tuning Grey predictor based on a PID controller is proposed. Firstly, the PID controller is designed according to the Zieger-Nichos 2 method with fast response and high robustness. Secondly, the grey predictor is suggested to use to estimate the system response in a near future in order to improve the control performance. In addition, the...
This paper proposed method of designing control system for two humanoid robots to transport objects stably in mutual collaboration with the use of PID and Fuzzy control. When a robot transports an object while walking, the transportation of object may not be stable due to vibration or external factors occurred from departure speed error and walking of the robot. Therefore, it is necessary to measure...
This paper presents the lateral position control of a moving web using a steering guide system in roll-to-roll (R2R) printed electronics. In typical R2R printed electronics processes, a web like plastic film runs through a long drying section where the lateral displacement of web is affected by the airflow in the dryer. In order to eliminate the lateral error, a steering guide can be used. We developed...
This paper presents the design of fuzzy PI+D controller and fuzzy PID controller for nonlinear systems using 'Gaussian' membership functions. The fuzzy controllers are derived from their conventional continuous time domain controllers. The controllers are developed by first discretizing the controllers' laws and then progressively deriving the steps necessary to incorporate a fuzzy logic control mechanism...
To more effectively use a network of high performance computing clusters, allocating multi-process jobs across multiple connected clusters, i.e., job co-allocation, offers the possibility of more efficient use of computer resources, reduced turn-around time and computations using numbers of processes larger than processors on any single cluster. Effective co-allocation, ultimately, depends on the...
This paper addresses robust H∞ fuzzy state feedback control problem for T-S fuzzy systems with time-varying norm-bounded uncertainties. Sufficient conditions are derived in terms of a set of linear matrix inequalities (LMIs). The proposed approach is very simple and more relaxed than other literatures. The effectiveness of the proposed design method is demonstrated by an example for the control of...
A self-tuning two degree of freedom (2-DOF )PID controller based on fuzzy inference is presented. In view of the deficiency of conventional 2-DOF PID controller in the parameter time varying system, integrate the two-degree-of-freedom PID control with fuzzy techniques, a self-tuning PID controller based on fuzzy inference is designed. On-line automatically tuned parameters are realized at different...
Introduce the working principle, control method and controller hardware of intelligent wind solar controller (IWSC). Using EWB to simulate the needed hardware of control process, based on the MATLAB simulation of battery charging strategy controlled by fuzzy PID. The simulating method given in this paper decrease the difficulty of hardware debugging, shorten debugging time and save the research expenditures...
Magnetic suspension platform system (MSPS) is a typical non-linear and hysteresis system, so itpsilas difficult to obtain the precise mathematic model and to cater the requirement of rapidity, stability and robustness by applying traditional PID or fuzzy controller separately. Aimed at the characteristics of MSPS, a composite control model combining PID with fuzzy (P-fuzzy-PI) is introduced by applying...
A correction factor fuzzy-PID control method is adopted in order to solve the vibration of elevator cab because of the edge effect in the linear elevators driven by the permanent magnet linear synchronous motor (PMLSM). The fuzzy control has the characteristics of being not completely dependent on the mathematics model, but the fuzzy control rules are obtained by experiences of authors or knowledge...
This paper presents a high performance direct torque control (DTC) theme for the induction motor (IM). To solve those problems associated with conventional DTC, such as high current, flux and torque ripple, variable switching frequency, the space vector modulation (SVM) is implemented in the DTC to guarantee the constant switching frequency of the inverter. Meanwhile, the design of a robust speed...
To minimize the ripples of the torque and flux linkage and to fix the variable switching frequency produced in the conventional direct torque control (DTC) system for permanent magnet synchronous motors (PMSM), the fuzzy controller was introduced into the PMSM DTC, and a PMSM Fuzzy DTC system based on DSP TMS320LF2407 was implemented. Experimental results show that the proposed Fuzzy DTC system has...
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