Fractional order PID Based Control Strategy for the Valve Plant of Hydraulic Transformer

2012 ◽  
Vol 203 ◽  
pp. 46-50
Author(s):  
Shu Nan Liu ◽  
Dan Tong Xie ◽  
Shu Qiang Jia ◽  
Tao Shang ◽  
Yong Ming Yao ◽  
...  
Keyword(s):  
Fractional Order ◽  
Control Strategy ◽  
Fuzzy Logic Controller ◽  
Differential Evolution Algorithm ◽  
Pressure Control ◽  
Step Response ◽  
Fuzzy Pid Control ◽  
Output Pressure ◽  
Hydraulic Transformer ◽  
Fractional Order Pid

Aiming at the pressure control of hydraulic transformer (HT), the fractional order PID (FOPID) controller is proposed for the control of the position of the valve plate. The assignment system of the HT is carefully modeled. To optimally determine the parameters of the FOPID controller, a self-adapting differential evolution algorithm is employed. Numerical simulation is conducted to investigate the proposed control strategy. Both step response and sinusoidal command signal tracking of the servo system is assessed, and the results demonstrate that the proposed control strategy is obviously superior to the conventional PID, Fuzzy Logic Controller (FLC) and fuzzy-PID control strategy, and can afford precise tracking performances. It is suitable for the precise adjustment of the output pressure of the HT.

scholarly journals Fractional-Order Approximation and Synthesis of a PID Controller for a Buck Converter

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 629 ◽  
Author(s):  
Allan G. Soriano-Sánchez ◽  
Martín A. Rodríguez-Licea ◽  
Francisco J. Pérez-Pinal ◽  
José A. Vázquez-López
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Order Approximation ◽  
Buck Converter ◽  
Step Response ◽  
Pid Controllers ◽  
Limited Frequency ◽  
Tuning Process ◽  
Band Limited ◽  
Fractional Order Pid

In this paper, the approximation of a fractional-order PIDcontroller is proposed to control a DC–DC converter. The synthesis and tuning process of the non-integer PID controller is described step by step. A biquadratic approximation is used to produce a flat phase response in a band-limited frequency spectrum. The proposed method takes into consideration both robustness and desired closed-loop characteristics, keeping the tuning process simple. The transfer function of the fractional-order PID controller and its time domain representation are described and analyzed. The step response of the fractional-order PID approximation shows a faster and stable regulation capacity. The comparison between typical PID controllers and the non-integer PID controller is provided to quantify the regulation speed introduced by the fractional-order PID approximation. Numerical simulations are provided to corroborate the effectiveness of the non-integer PID controller.

scholarly journals The Fractional Order PID Method with a Fault Tolerant Module for Road Feeling Control of Steer-by-Wire System

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Fei-xiang Xu ◽  
Xin-hui Liu ◽  
Wei Chen ◽  
Chen Zhou ◽  
Bing-wei Cao
Keyword(s):  
Fractional Order ◽  
Control Strategy ◽  
Control Method ◽  
Fault Tolerant ◽  
Torque Sensor ◽  
The Road ◽  
System A ◽  
Steer By Wire ◽  
Fractional Order Pid ◽  
The Mathematical Model

To improve the road feeling of the steer-by-wire (SBW) system, a fractional order PID (proportion-integral-derivative) method with a fault tolerant module is proposed in this paper. Firstly, the overall road feeling control strategy of the SBW system is introduced, and then the mathematical model of road feeling control is established. Secondly, a fractional order PID (FOPID) controller is designed to control torque of the road feeling motor. Furthermore, genetic algorithm (GA) is applied to tune the FOPID controller’s parameters. Thirdly, a fault tolerant module aiming at potential failures of the motor’s torque sensor is studied to improve the reliability of the system. Kalman Filter (KF) algorithm is utilized in the fault tolerant module so as to detect failures of the motor’s torque sensor, and then fault tolerant module reconfigures the motor’s torque estimated by KF as a substitute when the torque sensor fails. Finally, simulations based on MATLAB are performed with the proposed control strategy to identify its performance, and the results demonstrate that the proposed control method is feasible and accurate.

scholarly journals Master and Auxiliary Compound Control for Multi-Channel Confluent Water Supply Switching Control Based on Variable Universe Fuzzy PID

2020 ◽  
Vol 10 (22) ◽  
pp. 7983
Author(s):  
Ge Zhao ◽  
Jian Wang ◽  
Wei Li ◽  
Jinsong Zhu
Keyword(s):  
Water Supply ◽  
Control Strategy ◽  
Pid Control ◽  
Fire Fighting ◽  
Step Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Variable Universe ◽  
Main Pipe ◽  
Compound Control

During the multi-channel confluent water supply process, the pressure control of the main pipe is often held back by such problems as non-linearity, hysteresis and parameter uncertainty, its own unique load dynamic changes, channel switching disturbance and other system characteristics caused by the actual working conditions. Moreover, pressure fluctuations in the main pipe will lead to a reduction in the service life of fire-fighting equipment, an increase in the failure rate, and even an interruption of the fire-fighting water supply. Therefore, a master and auxiliary control strategy is proposed to stabilize the pressure change in the process of multi-channel concentrated water supply switching, by using variable universe fuzzy proportional integral derivative (PID) control as the main controller on the main pipe and traditional PID control as the subsidiary controller on the channel. The control strategy is verified by the co-simulation platforms of LabVIEW and AMESim. Simulation results show that the variable universe fuzzy PID control and the master and auxiliary compound control based on the variable universe fuzzy PID control have advantages in step response, tracking response and anti-interference, respectively. The parameters obtained in the co-simulation are used in the experimental system. The experimental results show that the maximum deviation rate of main pipe pressure can be reduced by about 10% compared with other control methods under different loads. In conclusion, the proposed control strategy has strong anti-interference ability, fast dynamic response speed, high stability and good peak shaving effect.

scholarly journals Multiobjective Optimization Design of a Fractional Order PID Controller for a Gun Control System

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Qiang Gao ◽  
Jilin Chen ◽  
Li Wang ◽  
Shiqing Xu ◽  
Yuanlong Hou
Keyword(s):  
Control System ◽  
Multiobjective Optimization ◽  
Fractional Order ◽  
Optimization Design ◽  
Differential Evolution Algorithm ◽  
Optimal Solution ◽  
Parameter Tuning ◽  
Gun Control ◽  
Tuning Method ◽  
Fractional Order Pid

Motion control of gun barrels is an ongoing topic for the development of gun control equipments possessing excellent performances. In this paper, a typical fractional order PID control strategy is employed for the gun control system. To obtain optimal parameters of the controller, a multiobjective optimization scheme is developed from the loop-shaping perspective. To solve the specified nonlinear optimization problem, a novel Pareto optimal solution based multiobjective differential evolution algorithm is proposed. To enhance the convergent rate of the optimization process, an opposition based learning method is embedded in the chaotic population initialization process. To enhance the robustness of the algorithm for different problems, an adapting scheme of the mutation operation is further employed. With assistance of the evolutionary algorithm, the optimal solution for the specified problem is selected. The numerical simulation results show that the control system can rapidly follow the demand signal with high accuracy and high robustness, demonstrating the efficiency of the proposed controller parameter tuning method.

scholarly journals Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1182 ◽  
Author(s):  
Mihailo Micev ◽  
Martin Ćalasan ◽  
Diego Oliva
Keyword(s):  
Fractional Order ◽  
Controller Design ◽  
Step Response ◽  
Voltage Regulator ◽  
Performance Tests ◽  
Avr System ◽  
Pid Controller Design ◽  
Novel Method ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

This paper presents a novel method for optimal tunning of a Fractional Order Proportional-Integral-Derivative (FOPID) controller for an Automatic Voltage Regulator (AVR) system. The presented method is based on the Yellow Saddle Goatfish Algorithm (YSGA), which is improved with Chaotic Logistic Maps. Additionally, a novel objective function for the optimization of the FOPID parameters is proposed. The performance of the obtained FOPID controller is verified by comparison with various FOPID controllers tuned by other metaheuristic algorithms. A comparative analysis is performed in terms of step response, frequency response, root locus, robustness test, and disturbance rejection ability. Results of the simulations undoubtedly show that the FOPID controller tuned with the proposed Chaotic Yellow Saddle Goatfish Algorithm (C-YSGA) outperforms FOPID controllers tuned by other algorithms, in all of the previously mentioned performance tests.

Adaptive Fuzzy PID Applied in Steam Pressure Control System

2012 ◽  
Vol 485 ◽  
pp. 203-206
Author(s):  
Yun Jing Liu ◽  
Feng Wen Wang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pid Control ◽  
Pressure Control ◽  
Steam Pressure ◽  
System Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Pressure Control System

Boiler steam pressure control system is important because of affecting the turbine speed directly. In engineering, the steam pressure control system is mostly dominated by traditional PID control. But the traditional PID control strategy can’t obtain satisfied control effects with the changing of the fuel and give-wind flow. The use of intelligent control strategy has been studied in recent years in order to improve steam pressure control. In this paper steam pressure control system with adaptive fuzzy PID control is presented, and the simulation results based on MATLAB show that the proposed algorithm can largely improve the system response performance compared to the traditional PID control.

scholarly journals A Look-Up Table Based Fractional Order Composite Controller Synthesis Method for the PMSM Speed Servo System

2022 ◽  
Vol 6 (1) ◽  
pp. 47
Author(s):  
Weijia Zheng ◽  
Runquan Huang ◽  
Ying Luo ◽  
YangQuan Chen ◽  
Xiaohong Wang ◽  
...  
Keyword(s):  
Fractional Order ◽  
Synthesis Method ◽  
Differential Evolution Algorithm ◽  
Servo System ◽  
Step Response ◽  
Parametric Uncertainties ◽  
Composite Control ◽  
Look Up Table ◽  
Control Scheme ◽  
Composite Control Scheme

Considering the performance requirements in actual applications, a look-up table based fractional order composite control scheme for the permanent magnet synchronous motor speed servo system is proposed. Firstly, an extended state observer based compensation scheme was adopted to suppress the motor parametric uncertainties and convert the speed servo plant into a double-integrator model. Then, a fractional order proportional-derivative (PDμ) controller was adopted as the speed controller to provide the optimal step response performance for the servo system. A universal look-up table was established to estimate the derivative order of the PDμ controller, according to the optimal samples collected by an improved differential evolution algorithm. With the look-up table, the optimal PDμ controller can be tuned analytically. Simulation and experimental results show that the servo system using the composite control scheme can achieve optimal tracking performance and has robustness to the motor parametric uncertainties and disturbance torques.

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