A Self-Tuning PID Control System Based on Control Performance Assessment

2016 ◽  
Vol 20 (2) ◽  
pp. 271-278 ◽  
Author(s):  
Weihua Cao ◽  
◽  
Xuemin Hu ◽  
Min Wu ◽  
Wei Yin ◽  
...  
Keyword(s):  
Control System ◽  
Iterative Method ◽  
Impulse Response ◽  
Pid Control ◽  
Closed Loop ◽  
Control Performance ◽  
Response Matrix ◽  
Newton Iterative Method ◽  
Self Tuning ◽  
Quasi Newton

A Quasi-Newton iterative method is developed for the calculation of the best achievable PID control performance and the corresponding optimal PID setting based on the control parameters and input-output data. At the basis of the proposed method, a self-tuning PID control system is proposed for the time-variant dynamic process. When controllers performance deteriorates below the general performance, controller parameters are directly adjusted with the Quasi-Newton iterative method. When below the poor performance, it can be indirectly adjusted with the identification of the closed-loop impulse response matrix. A data-driven solution is developed for calculation of the closed-loop impulse response matrix. Based on the acquired state information, system is assessed and adjusted cyclically so that a self-tuning PID control system is finally realized. Simulation results show the practicality and utility of this method.

Excitation Liquid-Cooled Retarder Control System Design Based on MC9SXS128

2014 ◽  
Vol 525 ◽  
pp. 583-587
Author(s):  
Bing Tu ◽  
Wei Zhang ◽  
Teng Xi Zhan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Good Control ◽  
Control Performance ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Application Requirements

This paper presented a excitation liquid-cooled retarder control system based on a microprocessor MC9SXS128. In order to achieve the constant speed, It used PWM to adjust the output current of excitation liquid-cooled retarder. It analyzed and calculated the inductance value in PWM output circuit and also analyzed the excitation liquid-cooled retarder control systematical mathematical model . It divided the brake stalls based on the current flowing through the field coil. by adding the PID closed-loop control system, the retarder could quickly reach the set speed. It tested the PID control algorithm at the experiments in retarder drum test rig and the results show that the control algorithm has good control performance to meet the application requirements.

scholarly journals Self-Tuning Two Degree-of-Freedom Proportional–Integral Control System Based on Reinforcement Learning for a Multiple-Input Multiple-Output Industrial Process That Suffers from Spatial Input Coupling

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 487
Author(s):  
Fumitake Fujii ◽  
Akinori Kaneishi ◽  
Takafumi Nii ◽  
Ryu’ichiro Maenishi ◽  
Soma Tanaka
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Pid Control ◽  
Multiple Input Multiple Output ◽  
Industrial Process ◽  
Pi Controller ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Tuning ◽  
Two Degree Of Freedom

Proportional–integral–derivative (PID) control remains the primary choice for industrial process control problems. However, owing to the increased complexity and precision requirement of current industrial processes, a conventional PID controller may provide only unsatisfactory performance, or the determination of PID gains may become quite difficult. To address these issues, studies have suggested the use of reinforcement learning in combination with PID control laws. The present study aims to extend this idea to the control of a multiple-input multiple-output (MIMO) process that suffers from both physical coupling between inputs and a long input/output lag. We specifically target a thin film production process as an example of such a MIMO process and propose a self-tuning two-degree-of-freedom PI controller for the film thickness control problem. Theoretically, the self-tuning functionality of the proposed control system is based on the actor-critic reinforcement learning algorithm. We also propose a method to compensate for the input coupling. Numerical simulations are conducted under several likely scenarios to demonstrate the enhanced control performance relative to that of a conventional static gain PI controller.

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

BLDC Motor Torque Ripple Control Using Self-Tuning PID Fuzzy Control System

2016 ◽  
Vol 851 ◽  
pp. 459-463 ◽  
Author(s):  
Chao Wang ◽  
Zhuang Li ◽  
Guang Qing Kang ◽  
Chun Yan Zeng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Torque Ripple ◽  
Static Characteristic ◽  
Bldc Motor ◽  
Fuzzy Control System ◽  
Control Precision ◽  
Self Tuning ◽  
High Control

In order to suppress the torque ripple of the BLDC motor, at the same time considering the nonlinear and uncertainty of the BLDC motor, this paper mainly proposes a self-tuning PID fuzzy algorithm to control the torque ripple. Self-tuning PID fuzzy control is integrating the advantages of PID control system and fuzzy control system, using the error and change of error as inputs, and adjustment of PID parameter on-line by fuzzy control rules. Self-tuning PID fuzzy has the advantages of flexible and adaptable, and also have the characteristics of traditional PID control system such as broad applicability and high control precision. The results of simulation show that the self-tuning PID fuzzy control can suppress the torque ripple of BLDC motor effectively, the optimization of the dynamic and static characteristic of the system, satisfying the requirements of system performance, the superiority and reliability of the control strategy was verified.

Research and Design of Quantitative Casting Control System for Lead Anode Plate

2012 ◽  
Vol 546-547 ◽  
pp. 981-986
Author(s):  
Ling Liang ◽  
Ke Liang Zhou ◽  
Jian Wei Liang ◽  
Wen Xing Zhu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Lead Anode ◽  
Control Effectiveness ◽  
Control Response ◽  
Self Tuning ◽  
Object Of Study ◽  
Control Principle ◽  
And Control ◽  
Profibus Dp

In this paper, taking the quantitative casting system for lead anode plate as the object of study, develop a control system based on the fieldbus and fuzzy control. Introduce the process and control principle of the lead anode plate casting, and establish the quantitative pouring control system from two aspects as the designs of hardware and software equipment.The system adopts the PROFIBUS-DP fieldbus technology and uses SIMATIC PLC as the master station to structure the casting control system. It describes the realization and simulation of the fuzzy self-tuning PID control algorithm in quantitative casting system.The simulation results show: Fuzzy - PI control scheme has a better control effectiveness than the traditional PID control system,for a smaller control response curve overshoot and error, a shorter response time and restraining the outside interference to the system and the instability of casting flow.

Study of PID Control Algorithm Based on the Critical Ratio Method

2014 ◽  
Vol 494-495 ◽  
pp. 1246-1248
Author(s):  
Wen Bin Wang ◽  
Dao Yuan Liu ◽  
Yu Qin Yao
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Industrial Process ◽  
Parameter Tuning ◽  
Ratio Method ◽  
Critical Ratio ◽  
Control Performance ◽  
Core Content ◽  
Tuning Pid Parameters

PID control is one of the earliest control strategy and till has the most widely use in the industrial process at the present. The PID parameter tuning and optimizing decide what the control performance of the control system can achieve. PID parameter tuning is the core content in control system design. In this paper, aiming at the complexity of PID parameter tuning process, the critical ratio method was optimized and propose a simple and effective method of tuning PID parameters. By simulation, this method turn out to be simple and effective, good real-time performance.

CVT Ratio Adjusting Process Control

2010 ◽  
Vol 139-141 ◽  
pp. 1929-1932
Author(s):  
Cheng Wang ◽  
Bing Yi Li
Keyword(s):  
Control System ◽  
Process Control ◽  
Pid Control ◽  
Control Method ◽  
Parameter Tuning ◽  
Experimental Results ◽  
Control Performance ◽  
Test Bed ◽  
The Real

Aiming at the shortcoming of the integral accumulation in the process of CVT ratio adjusting control, which is caused by the general PID control method, a new ratio adjusting control system based on the shift integral PID control method was designed. The theory of CVT ratio adjusting process and the enhanced control method were analized. The enhanced PID parameter tuning principle was presented. The test-bed of CVT ratio adjusting control was devised and adopted to do the CVT ratio tracing experiments. The experiments of step ratio from 0.45 to 1.45 and from 1.7 to 0.7 were made. The experimental results proved that the new ratio adjusting control system and the enhanced PID parameter tuning principle were valid, which made the real ratio trace the object ratio rapidly and steadily. The control performance of CVT ratio adjusting was improved.

Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Takao Sato ◽  
Toru Yamamoto ◽  
Nozomu Araki ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Pid Control ◽  
Design Method ◽  
Design Parameters ◽  
Generalized Predictive Control ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Proportional Integral Derivative Control

In the present paper, we discuss a new design method for a proportional-integral-derivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a user-specified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.

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