Based on NERGA a Novel Decentralized PID for Non-Square System

2011 ◽  
Vol 179-180 ◽  
pp. 1143-1149 ◽  
Author(s):  
Ling Quan ◽  
Qi Bing Jin ◽  
Xue Wei Wang
Keyword(s):  
Pid Control ◽  
Time Delays ◽  
Control Method ◽  
Multivariable Control ◽  
Pid Controllers ◽  
Control Methods ◽  
Chemical Production ◽  
Input And Output ◽  
The Matrix ◽  
Simulation Results

Multivariable non-square system with time delays often arises in the chemical production process. Owing to the matrix that is adopted to describe non-square system is not square, many classical multivariable control methods can be hardly applied in such system. In this paper, based on Non-square effective relative gain (NERGA) a novel decentralized PID control method is proposed. The input and output loops of the non-square system are paired though NERGA firstly, and then strong robust decentralized multivariable proportional-integral-differential (PID) controllers are designed individually based on the squared models. Finally, Simulation study was carried out for three inputs and two outputs system, the simulation results can demonstrate the effectiveness of the proposed method.

A Novel Internal Model Control Method for Non-Square System

2012 ◽  
Vol 238 ◽  
pp. 66-70 ◽  
Author(s):  
Ling Quan ◽  
Hai Long Zhang ◽  
Yang Yang
Keyword(s):  
Time Delays ◽  
Internal Model ◽  
Control Method ◽  
Internal Model Control ◽  
Multivariable Control ◽  
Chemical Production ◽  
Model Control ◽  
The Matrix ◽  
Internal Model Controller ◽  
Square Systems

Multivariable non-square systems with time delays widely exist in the chemical production process. Owing to the matrix that is adopted to describe non-square system is not square, many classical multivariable control methods can be hardly applied in such system. In this paper, based on non-square effective relative gain (NERGA), a novel internal model control method is proposed. Firstly the input and output loops of the non-square system are paired using NERGA, and then V-norm internal model controller is designed based on the model of squared subsystem. Finally, smulation study is carried out for a non-square system. The results can demonstrate the effectiveness of the proposed method.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

PID Control Strategy of Vehicle Active Suspension Based on Considering Time-Delay and Stability

2013 ◽  
Vol 706-708 ◽  
pp. 901-906
Author(s):  
Guang Hui Yan ◽  
Shao Hua Wang ◽  
Zhi Wei Guan ◽  
Chen Fu Liu
Keyword(s):  
Time Delay ◽  
Pid Control ◽  
Stability Criterion ◽  
Control Method ◽  
Critical Time ◽  
Active Suspension ◽  
Vertical Acceleration ◽  
Hurwitz Stability ◽  
Critical Instability ◽  
Simulation Results

The stability conditions of 1/4 vehicle active suspension with time-delay were deduced by the theory of Routh-Hurwitz stability criterion and the critical instability time-delay was discussed and calculated. Compared with PID control method of without time-delay the simulation results show that when the critical time-delay is 0.153s, the amplitude range and its root mean square value of spring load quality vertical acceleration were increased 1.2 times or so and the system was being on the critical stability. The calculation and simulation results proved that the theory of Routh-Hurwitz stability criterion laid a foundation for the design and instability mechanism of active suspension.

scholarly journals Research on Construction Method of Operational Reliability Control Model for Space Manipulator Based on Particle Filter

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xin Gao ◽  
Yifan Wang ◽  
Hanxu Sun ◽  
Qingxuan Jia ◽  
Xiaojian Yang ◽  
...  
Keyword(s):  
Particle Filter ◽  
Control Method ◽  
Operational Reliability ◽  
Control Model ◽  
Control Methods ◽  
Space Manipulator ◽  
Performance Function ◽  
Model Based ◽  
Simulation Results ◽  
A Performance

The operational reliability of the space manipulator is closely related to the control method. However the existing control methods seldom consider the operational reliability from the system level. A method to construct the operational reliability system control model based on particle filter for the space manipulator is presented in this paper. Firstly, the definition of operational reliability and the degree of operational reliability are given and the state space equations of the control system are established as well. Secondly, based on the particle filter algorithm, a method to estimate the distribution of the end position error and calculate the degree of operational reliability with any form of noise distribution in real time is established. Furthermore, a performance model based on quality loss theory is built and a performance function is obtained to evaluate the quality of the control process. The adjustment value of the end position of the space manipulator can be calculated by using the performance function. Finally, a large number of simulation results show that the control method proposed in this paper can improve the task success rate effectively compared to the simulation results using traditional control methods and control methods based on Bayesian estimation.

scholarly journals The Design of Optimal PID Control Method for Quadcopter Movement Control

2018 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Hanum Arrosida ◽  
Mohammad Erik Echsony
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Controller Design ◽  
Minimum Energy ◽  
Linear Quadratic Regulator ◽  
Research Field ◽  
Unmanned Aircraft ◽  
Control Methods ◽  
Linear Quadratic ◽  
Optimal Pid Control

Nowadays, quadcopter motion control has become a popular research topic because of its versatile ability as an unmanned aircraft can be used to alleviate human labor and also be able to reach dangerous areas or areas which is unreachable to humans. On the other hand, the Optimal PID control method, which incorporates PID and Linear Quadratic Regulator (LQR) control methods, has also been widely used in industry and research field because it has advantages that are easy to operate, easy design, and a good level of precision. In the PID control method, the main problem to be solved is the accuracy of the gain value Kp, Ki, and Kd because the inappropriateness of those value will result in an imprecise control action. Based on these problems and referring to the previous study, the optimal PID control method was developed by using PID controller structure with tuning gain parameter of PID through Linear Quadratic Regulator (LQR) method. Through the integration of these two control methods, the optimum solutions can be obtained: easier controller design process for quadcopter control when crossing the determined trajectories, steady state error values less than 5% and a stable quadcopter movement with roll and pitch angle stabilization at position 0 radians with minimum energy function.

PWM Speed Regulating System of DC Torque Motor Based on Fuzzy Immune-PID Control

2012 ◽  
Vol 466-467 ◽  
pp. 1129-1134
Author(s):  
Liang Qin ◽  
Wen Guang Zhang ◽  
Shao Lei Zhou ◽  
Xian Jun Shi
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Servo System ◽  
Simulation Results

A PWM drive card is designed aiming at a certain type of DC torque motor used in the speed turntable. A fuzzy immune-PID control method is used instead of the traditional PID method, in order to modulate the PWM waves, and then realize the control for servo¬¬¬ system of torque motor. The simulation results show that, compared with the traditional PID method, the responding time is greatly reduced by using the fuzzy immune-PID control method. And the system gets good anti-interference ability, of which dynamic and steady performances are also improved.

Comparative Study on Control Methods for Air Conditioning of Industrial Paint Booths

2019 ◽  
Vol 11 (11) ◽  
pp. 1053-1059
Author(s):  
Murat Ayaz ◽  
Volkan Aygül ◽  
Ferhat Düzenli˙ ◽  
Erkutay Tasdemi˙rci˙
Keyword(s):  
Adaptive Control ◽  
Automotive Industry ◽  
Air Conditioning ◽  
Control Method ◽  
Ventilation System ◽  
Hvac Systems ◽  
Control Methods ◽  
Control Applications ◽  
Time Simulation ◽  
Simulation Results

It is of great importance that each product in industrial production facilities is to be produced in the same quality and standard. Especially in the automotive industry, the painting process needs to be done under certain environmental conditions according to the paint properties used. Therefore, the temperature, humidity and air quality values of the paint booth are very important for a quality painting operation. In this study, adaptive control has been proposed to control of one-zone heating-ventilation system for the paint booths. The system has been modelled by using the Matlab/Simulink. Performance of the proposed control method has been compared with conventional control methods such as On/Off, PID, fuzzy logic in terms of accuracy, efficiency and response time. Simulation results show that the proposed adaptive control is effective in the Heating, Ventilating, and Air Conditioning (HVAC) systems temperature control applications. In addition, energy efficiency in HVAC systems has been provided with the proposed control model. Furthermore, thermal analysis of the system has been done to corroborate simulation results.

Performances Analyzing of Parallel Inverter System Based on an Improved Fuzzy Control Method

2013 ◽  
Vol 302 ◽  
pp. 671-678
Author(s):  
Hui Ling Wang ◽  
Jun Wang ◽  
Ming Qing Wang ◽  
Xiao Rong Cui ◽  
Li Lin ◽  
...  
Keyword(s):  
Pid Control ◽  
Output Voltage ◽  
Control Method ◽  
Inhibitory Effect ◽  
Double Loop ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Circulating Current ◽  
Simulation Results ◽  
Parallel Inverter

The parallel inverter system will produce the phenomenon of circulating current when each inverter’s output voltage is inconsistent. This phenomenon increases the burden of switching elements. Furthermore this system will be crashed, and it could lead to a power interruption. In this paper, the property of the circulating current is analyzed deeply for double-loop parallel inverter system. An improved fuzzy PID control and LCL filter are adapted to make up the really redundancy system. Besides, a hot-swappable system is putted into practice. The simulation results reflect that this method have better inhibitory effect on the circulating current of the parallel inverter system.

Feedback Filter PID Control for Integrator and Time Delay Processes

2012 ◽  
Vol 490-495 ◽  
pp. 1321-1325
Author(s):  
Wei Tang ◽  
Xiao Xiang Ji
Keyword(s):  
Time Delay ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Open Loop ◽  
Point Tracking ◽  
Feedback Model ◽  
Pole Type ◽  
Simulation Results ◽  
Controlled Object

A PID controller based on a typical feedback model is introduced because of instability of a kind of integrator and time delay process on open-loop condition. All-pole-type approximating method is adopted to deal with delay part of the controlled object approximately,and confirmed parameters of PID controller is obtained by importing a strategy of confirming parameters of PID controller based on a kind of typical feedback model from IMC principle.The designed control method shows better set point tracking performance based on initialed parameters point and better interference suppression performance of the controlled object.The structure of the controller is simple, and parameters are easy to adjust, the improved controller is easy to apply to practical projects.The simulation results show its effectiveness

A Study of Turbine Engine PID Control Method Based on Closed-Loop Gain Shaping Algorithm

2012 ◽  
Vol 468-471 ◽  
pp. 143-146
Author(s):  
Jie Tang Zhu ◽  
Shi Ying Zhang ◽  
Jiao Chen ◽  
Lei Luo ◽  
Peng Gao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Closed Loop ◽  
Control Method ◽  
Narrow Range ◽  
Pid Controllers ◽  
Loop Gain ◽  
Turbine Engine ◽  
Engine Control System ◽  
Series Type

This paper aims at the application of closed-loop gain shaping algorithm in turbine engine PID control. It introduces calculation examples, showing how to build a PID controller through parameters with physical significances; it also establishes mathematic models of turbine engine and fuel supply system, in order to test the performances of the PID controller, based on the comparison between PID controllers of series type and closed-loop gain shaping. Simultaneously, simulations are conducted using Matlab. The Simulations indicate no overshoot, proper control time as well as a narrow range of amplitude of oscillation. Therefore, the study succeeds in proving that the closed-loop gain shaping PID controller has excellent performance and good robustness, which is particularly useful for turbine engine control system.

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