Variable-order PI Control Algorithm with Order Scheduled According to the Control Error and Anti-windup Strategy

2019 ◽  
Author(s):  
Dominik Sierociuk ◽  
Michal Slawomir Wiraszka
Keyword(s):  
Control Algorithm ◽  
Pi Control ◽  
Variable Order ◽  
Control Error

scholarly journals Research of Active Power Filter Modeling with Grid Impedance in Feedback Linearization and Quasi-Sliding Mode Control

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Zeyu Shi ◽  
Yingpin Wang ◽  
Yunxiang Xie ◽  
Lanfang Li ◽  
Xiaogang Xu
Keyword(s):  
Sliding Mode Control ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Active Power Filter ◽  
Active Power ◽  
Pi Control ◽  
Power Filter ◽  
Mode Control ◽  
Grid Impedance

Active power filter (APF) is the most popular device in regulating power quality issues. Currently, most literatures ignored the impact of grid impedance and assumed the load voltage is ideal, which had not described the system accurately. In addition, the controllers applied PI control; thus it is hard to improve the compensation quality. This paper establishes a precise model which consists of APF, load, and grid impedance. The Bode diagram of traditional simplified model is obviously different with complete model, which means the descriptions of the system based on the traditional simplified model are inaccurate and incomplete. And then design exact feedback linearization and quasi-sliding mode control (FBL-QSMC) is based on precise model in inner current loop. The system performances in different parameters are analyzed and dynamic performance of proposed algorithm is compared with traditional PI control algorithm. At last, simulations are taken in three cases to verify the performance of proposed control algorithm. The results proved that the proposed feedback linearization and quasi-sliding mode control algorithm has fast response and robustness; the compensation performance is superior to PI control obviously, which also means the complete modeling and proposed control algorithm are correct.

scholarly journals PID Controller Implemented in Festo CDPX

2019 ◽  
Vol 260 ◽  
pp. 02008
Author(s):  
Primož Podržaj
Keyword(s):  
Control Systems ◽  
Pid Controller ◽  
Control Algorithm ◽  
Closed Loop ◽  
Pi Control ◽  
Programmable Logic ◽  
Educational Tool ◽  
Level Control ◽  
Loop Control ◽  
Machine Interface

In this paper, we describe the procedure for the implementation of the PID controller in the Festo CDPX operator unit. These units enable the execution of the control algorithm and human machine interface in a single unit. In our laboratory the unit is used to teach the students about the basics of control systems. For this purpose, one of the most common closed loop control systems for the education purposes was selected. It is a water level control system. In this paper the design of the whole system is presented. The need for a PI control algorithm is also explained. The programming of the operator unit CDPX, both in Festo CoDeSys and Designer Studio is explained. Such a simple system has turned out to be a great educational tool for Control Theory and Programmable Logic Controller related subjects.

Rule-Based Alternator Control Using Predicted Velocity for Energy Management Strategy

2019 ◽  
Vol 141 (12) ◽  
Author(s):  
Jaewook Shin ◽  
Haksu Kim ◽  
Seungeon Baek ◽  
Myoungho Sunwoo ◽  
Manbae Han
Keyword(s):  
Fuel Consumption ◽  
Energy Management ◽  
Control Algorithm ◽  
Internal Combustion Engines ◽  
Electrical Energy ◽  
Control Mode ◽  
Pi Control ◽  
Electrical System ◽  
Energy Management Strategy ◽  
Rule Based

AbstractThe market concern of improvement of vehicle safety and its convenience to drive a vehicle has resulted in the growth of the demand for vehicular electronic equipment. This trend requires additional power in the vehicle and thus makes prone to the increase of fuel consumption for vehicles equipped with internal combustion engines. To minimize this fuel consumption, an efficient energy management (EM) strategy for the electrical system of alternator and battery is required. This paper proposes a successful EM strategy based on the rule-based alternator control using predictive information. The proposed strategy reduces fuel consumption by charging batteries using the residual kinetic energy during deceleration. In particular, we predict electrical energy that is recovered by the residual energy using a Markov chain-based velocity prediction algorithm. The accommodation of predicted electrical energy and current vehicle information determines one of the three predefined control modes, such as charge, hold, and discharge, depending on vehicle driving states. This control mode determines the power generation from the alternator and controls the amount of torque to the vehicle electrical system. The proposed strategy is verified through simulation and experiment. The simulation with the new EM strategy is validated as comparing the operation difference with a conventional proportional-integral (PI) control algorithm under the same driver behaviors. Further validation in real vehicle driving experiment shows that fuel consumption was reduced by 2.1% compared to the conventional PI control algorithm.

A Control Method for Active Power Filters with Three-Level NPC Inverter

2011 ◽  
Vol 268-270 ◽  
pp. 428-433
Author(s):  
Chen Guo ◽  
Cun Bing Gui ◽  
Zhong Ren Chen
Keyword(s):  
Control Algorithm ◽  
Control Method ◽  
Sampling Period ◽  
Active Power ◽  
Pi Control ◽  
State Variables ◽  
Active Power Filters ◽  
Power Filters ◽  
Repetitive Nature ◽  
Periodic Error

This paper researches control problem for active power filters with three-level NPC inverter and proposes a novel PI control algorithm for tracking harmonic command current. This novel PI control algorithm can suppress the periodic error in the whole system to achieve zero steady error tracking. In this scheme, the state variables are estimated with a state observer to cancel the delay of one sampling period in this digital control system. Harmonic current is predicted with a repetitive algorithm simultaneity, which makes use of the repetitive nature of load current. The controller is analyzed and designed in the paper, and the experiment results illustrate that this APF can be controlled in a satisfactory way.

Research of Speed Regulating System Based on New Fuzzy PI Control

2014 ◽  
Vol 518 ◽  
pp. 310-315 ◽  
Author(s):  
Hui Wang ◽  
Li Rui Wan ◽  
Cai Dong Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Algorithm ◽  
Dynamic Performance ◽  
Mathematic Model ◽  
Pi Controller ◽  
Pi Control ◽  
Dynamic Performances ◽  
Saturation Method ◽  
Fuzzy Control Algorithm

In order to further improve on the static and dynamic performance of the permanent magnet linear synchronous motor (PMLSM) speed regulating system, the traditional PI control is combined with the fuzzy control to achieve PI parameters self-regulating. In this paper, on the basis of studying the mathematic model of PMLSM, the resisting integral saturation method are adopted to eliminate the integral saturation which the traditional PI causes. the fuzzy control is introduced into the PI control to realize to the self-optimization of the PI parameters. The simulation results show the resisting integral saturation PI control system based on the fuzzy control algorithm has better static and dynamic performances and stability, and possesses stronger anti-strike performance. Therefore, the new control system resolves the problems which the traditional PI controller cant achieve the most optimization because of the difficulty of the parameter regulating.

Multirate Constrained Predictive Control: Algorithm and Experimental Results

2007 ◽  
Vol 2 (3) ◽  
Author(s):  
Qiuping Hu ◽  
Sohrab Rohani
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Control Algorithm ◽  
Design Method ◽  
Pi Control ◽  
State Variables ◽  
Challenging Problem ◽  
State Estimator ◽  
Performance Specifications ◽  
Tank System

Control of multirate systems is a challenging problem due to several reasons such as increased complexity in the design with tighter performance specifications. In this work, an algorithm for multirate constrained predictive control (MCPC) is presented. The multirate predictive control system includes a multirate state estimator, which provides inter-sample estimates of state variables of the process from infrequent and slow measurements. Constraints are addressed rigorously in this framework. The proposed design method is verified via simulation as well as experimentation. The results of the multirate predictive control for temperature control of a stirred tank system are shown and compared with those of a proportional integral (PI) control system.

Robust Control of Hydrogen Flow for an Automotive Fuel Cell System via Model Reference Adaptive Control

2019 ◽  
Author(s):  
Janghwan Hwang ◽  
Sangseok Yu
Keyword(s):  
Adaptive Control ◽  
Fuel Cell ◽  
Flow Control ◽  
Control Algorithm ◽  
Cell System ◽  
Pi Control ◽  
Pwm Control ◽  
Fuel Cell System ◽  
Hydrogen Flow ◽  
Automotive Fuel

Abstract Efficient hydrogen flow control is of great importance to ensure the reliable operation of an automotive fuel cell system because it is closely associated with the safety and the economic efficiency. In this study, an effective hydrogen flow control algorithm for hydrogen excess ratio control is addressed by pointing out the recovery speed and overshoot response. Unlike previous studies on the hydrogen management systems of an automotive fuel cell, this study presents an analytic hydrogen tank model which can present the characteristics of the discharge and charge of hydrogen from a type 4 hydrogen tank. To this end, a mode reference adaptive control (MRAC) based on proportional-integral (PI) control is introduced, to ensure robust hydrogen flow during the dynamic operation of fuel cell system. The MRAC was compared with the nominal PI control and PWM control in the hydrogen management system of an automotive fuel cell operating within normal conditions, under steady-state responses and transient. Based on these result, it can further demonstrate that the MRAC algorithm shows better recovery speed and tracking performance than the nominal PI, and PWM control algorithm with respect to the transient behaviors.

scholarly journals Modified Smith Predictor Based on H 2 and Predictive PI Control Strategy

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Shiqing Sang ◽  
Pengcheng Nie
Keyword(s):  
Time Delay ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Order Approximation ◽  
Current System ◽  
Smith Predictor ◽  
Pi Control ◽  
Delay Term ◽  
Modified Smith Predictor

In this paper, a new type of modified Smith predictor based on the H 2 and predictive PI control strategy is proposed. The modified Smith predictor not only has H 2 robust performance but also has a similar predictive PI control structure. By introducing a time delay term, the modified Smith predictor controller overcomes the shortcoming that the conventional control algorithm can only use the low-order approximation of time delay term to design the control algorithm. The modified Smith predictor controller’s output is related to the current system error and related to the output in a period before the controller. Simultaneously, the modified Smith predictor controller is applied to conventional process systems based on dynamic optimization estimation in the case study to show absolute superiority over the nonpredictive control method (such as the classical PID control method).

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