Three-Dimensional Fuzzy Controller and its Optimizing

2012 ◽  
Vol 562-564 ◽  
pp. 1712-1719
Author(s):  
Wei Wei Pan ◽  
Jia Xin Chen
Keyword(s):  
Linear System ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Three Dimensional ◽  
Good Control ◽  
High Order ◽  
Control Effect ◽  
Practical Applications ◽  
Simulation Results ◽  
Non Linear System

The design methods of a kind of three-dimensional fuzzy controller and reasoning rules of its control algorithm, and the relevant simplification technology of three-dimensional table have been advanced in this paper. Self-optimized algorithm of the fuzzy controller has also been presented. The simulation results of high-order non-linear system and test of its practical applications have shown its good control effect.

Control Algorithm Study for some Optical Tracking Measurement System with Low Mechanical Resonance Frequency

2011 ◽  
Vol 188 ◽  
pp. 241-245
Author(s):  
Yong Li Bi ◽  
Zhong Xian Wang
Keyword(s):  
Linear System ◽  
Resonance Frequency ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Optical Tracking ◽  
Mechanical Resonance ◽  
Non Linear ◽  
Non Linear System ◽  
Tracking Measurement

For some optical tracking measurement systems, because their size, weight and space structure are very strict restrictions, DC servo motors have to drive the loads through the several stages of gear transmission. For such a nonlinear controlled object, it is difficult to obtain acceptable control performance applying the traditional controller design method. In the paper, firstly, establish such a non-linear system dynamic model, and consider intelligent control algorithm to inhibit mechanical resonance effect for the control system performance. In order to achieve real-time control easily, the paper suggests a fuzzy numeric model with the self-regulating factor based on analytic expression for such a non-linear system. The result demonstrates that the fuzzy controller is very effective in applications. This work provides a new thought for a controller design to inhibit the low mechanical resonance frequency.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Backstepping-Based Nonlinear Robust Controller for AMB Spindle

2012 ◽  
Vol 150 ◽  
pp. 133-138
Author(s):  
Bin Bian ◽  
Shu Qin Liu ◽  
De Guang Li ◽  
Zhao Kui Wang
Keyword(s):  
Good Control ◽  
Magnetic Bearing ◽  
System Model ◽  
Backstepping Method ◽  
Control Effect ◽  
Uniform Asymptotic Stability ◽  
Robust Controller ◽  
Simulation Results ◽  
The Impact ◽  
Nonlinear Robust

In this paper, backstepping method is used to handle the nonlinear factors for magnetic bearing spindle systems, resulting in the design of a nonlinear robust controller to make the system in equilibrium with the global uniform asymptotic stability. Meanwhile, considering the uncertainty in the system model, the impact of uncertainty is introduced in the design process, so that the system has certain robustness. Simulation results show that this method can have a good control effect in the nonlinear magnetic bearing spindle applications..

PID Temperature Control Systems of Greenhouse Based on FSM Methodology

2015 ◽  
Vol 740 ◽  
pp. 225-228
Author(s):  
Yang Liu ◽  
Ji Qian ◽  
Juan Zhou
Keyword(s):  
Control Systems ◽  
Temperature Control ◽  
Pid Control ◽  
Control Algorithm ◽  
High Reliability ◽  
Variable Temperature ◽  
Good Control ◽  
Control Effect ◽  
Finite State ◽  
Reduced Instruction Set Computer

PID Temperature Control Systems of Greenhouse Based on FSM (finite state machines) Methodology is used in variable-temperature-controlled greenhouse. This system cored with an advanced 16 bit RISC (Reduced Instruction Set Computer) MPU MSP430F149 with low power. The sensors employ a higher accuracy Pt1000 Resistance Temperature sensor and Silicon Photoelectric Generator. In software design, it used the thinking of FSM programming increment style PID Control algorithm. The Flexible Application of FSM can make the program clear and more effectively to management. The increment style PID Control algorithm avoids paranormal value when setting temperature is changed and temperature control more accurately. The cite operation shows that this controller has the advantages such as high reliability and good control effect.

scholarly journals Numerical Simulation of Free Convection in a Three-Dimensional Enclosure Full of Nanofluid with the Existence a Magnetic Field

2021 ◽  
Vol 54 (2) ◽  
pp. 355-361
Author(s):  
Aicha Hachana ◽  
Mohamed Naguib Harmas ◽  
Ziyad Bouchama
Keyword(s):  
Magnetic Field ◽  
Control Algorithm ◽  
Three Dimensional ◽  
Glucose Regulation ◽  
Automatic Regulation ◽  
Stochastic Noises ◽  
Noise Rejection ◽  
Control Scheme ◽  
Simulation Results ◽  
Synergetic Control

Blood glucose automatic regulation achievement depends on the robustness of the used control algorithm. However, some constraints were encountered due to the human glucose-insulin regulatory system’s complexity. It is proposed to tackle such a goal through the development of a robust synergetic control algorithm. An adaptive approach is integrated into this synergetic control scheme to handle disturbances and parameters variations. Multiple meal disturbances often occur daily as well as some other stochastic noises making efficient glucose regulation a tough challenge addressed in this paper via a new synergetic scheme. Simulation results show a robust function during multiple meal disturbances with good noise rejection.

Sensitivity of NL-RDM to Errors in the Non-Linear Test Process

2009 ◽  
Author(s):  
Mehdi Sarmast ◽  
Saeed Bostan Manesh M. ◽  
Mahmood R. Mehran
Keyword(s):  
System Identification ◽  
Linear System ◽  
Continuous Systems ◽  
Negative Effects ◽  
Practical Applications ◽  
Lumped Parameter ◽  
Non Linear ◽  
Linear System Identification ◽  
Non Linear System ◽  
Test Process

NL-RDM is a non-linear system identification method that combines a number of linear and non-linear system identification methods and offers a practical approach to the identification of lumped parameter and continuous systems using a classical linear modal model with additional non-linear terms. The method was started by identifying the modal parameters of the underlying linear system via the FRF, MMIF and appropriated force vector. The criteria for an ideal method are detailed in the some earlier papers, but the reality creates a limitation. This paper is divided into several sections relating to the “Nonlinear Test Process”. Error which arise from test, environmental and equipment effects, are quantization errors, input (or process) noise and measurement noise. So, the effects of these inaccuracies and possible solutions for decreasing any negative effects are considered. Then, The sensitivities to noise and quantization which could be encountered in practical applications of the NL-RDM, are discussed in concept, generated, applied and analyzed through simulation programme for two degree of freedom uncoupled and coupled examples.

Study on NC Instruction Interpretations Algorithm with High-Order Differentiability Based on Moving-Average

2011 ◽  
Vol 211-212 ◽  
pp. 900-903 ◽  
Author(s):  
Fang Song ◽  
Shuang Hui Hao ◽  
Ming Hui Hao
Keyword(s):  
Boundary Condition ◽  
Trajectory Planning ◽  
Control Algorithm ◽  
Moving Average ◽  
High Order ◽  
Smooth Control ◽  
Discrete Velocity ◽  
Deceleration Phase ◽  
Simulation Results

During trajectory planning, position, velocity and acceleration should satisfy the boundary condition simultaneously, if the interpolation cycle was directly used to discrete velocity, precision loss will occur. In order to solve these problems, a novel double acceleration control algorithm in the deceleration phase is presented and used to deal with linear acc/dec control, based on which a moving-average acc/dec control algorithm is studied, this algorithm can not only meet requirement for velocity and acceleration smooth control, but also realize NC instruction interpretation with high-order differentiability. The simulation results demonstrate that the proposed algorithm is reasonable.

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