Non-linear PID controller and methods of its setting

2017 ◽  
Author(s):  
Dzmitry Hryniuk ◽  
Irina Suhorukova ◽  
Igor Orobei
Keyword(s):  
Pid Controller ◽  
Non Linear

scholarly journals 5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

2020 ◽  
Vol 5 (1) ◽  
pp. 2
Author(s):  
Hady H. Fayek
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Packet Loss ◽  
Pid Controller ◽  
Frequency Control ◽  
Operating Conditions ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Control Scheme ◽  
Non Linear

Remote farms in Africa are cultivated lands planned for 100% sustainable energy and organic agriculture in the future. This paper presents the load frequency control of a two-area power system feeding those farms. The power system is supplied by renewable technologies and storage facilities only which are photovoltaics, biogas, biodiesel, solar thermal, battery storage and flywheel storage systems. Each of those facilities has 150-kW capacity. This paper presents a model for each renewable energy technology and energy storage facility. The frequency is controlled by using a novel non-linear fractional order proportional integral derivative control scheme (NFOPID). The novel scheme is compared to a non-linear PID controller (NPID), fractional order PID controller (FOPID), and conventional PID. The effect of the different degradation factors related to the communication infrastructure, such as the time delay and packet loss, are modeled and simulated to assess the controlled system performance. A new cost function is presented in this research. The four controllers are tuned by novel poor and rich optimization (PRO) algorithm at different operating conditions. PRO controller design is compared to other state of the art techniques in this paper. The results show that the PRO design for a novel NFOPID controller has a promising future in load frequency control considering communication delays and packet loss. The simulation and optimization are applied on MATLAB/SIMULINK 2017a environment.

Non-Linear PID Controller Parameter Optimization of Vertical Take-Off and Landing Stage for Tilt Rotor Aircraft

2014 ◽  
Vol 1082 ◽  
pp. 525-528
Author(s):  
Yuan Qi Zhang ◽  
Wei Ping Zhao ◽  
Song Xiang
Keyword(s):  
Parameter Optimization ◽  
Pid Controller ◽  
Angular Position ◽  
Nonlinear Function ◽  
Stability Control ◽  
Loop Control ◽  
Controller Parameter ◽  
Tilt Rotor ◽  
Non Linear ◽  
Aircraft System

Proportion, integration and differential gain of nonlinear PID Controller is nonlinear function of controlling error. This paper performed the non-linear PID controller parameter optimization of vertical take-off and landing stage for tilt rotor aircraft using the genetic algorithm. Dual loop control is used. Inner loop is angular velocity loop. Outer loop is angular position loop. According to the features of stability control of vertical take-off and landing stage of tilt rotor aircraft, system ascend time, steady error, and weighted overshoot are chosen as objective function of optimization. Simulation results show that controller designed by the present method can meet the requirement of control.

The Automotive Electronic Throttle Control Based on the Non-Linear Torque Observer

2011 ◽  
Vol 467-469 ◽  
pp. 152-159 ◽  
Author(s):  
Hong Tao Zhang ◽  
Ji Du He ◽  
Jin Ping Liu
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Pid Controller ◽  
Electronic Throttle ◽  
Automotive Electronic ◽  
Control Precision ◽  
Non Linear ◽  
Working Principle ◽  
Torque Observer ◽  
Electronic Throttle Control

This paper introduces the structure and working principles of the automotive electronic throttle control system. After analyzing the non-linear factor of the system, mathematical model of the system is built up. And the working principle of non-linear torque observer is described. Then incremental PID controller and non-linear torque compensator were designed and simulated in the matlab/simulink. From the result, we can see that the control precision of incremental PID controller is poor, and it also easily has an overshoot. However, PID controller based on non-linear torque observer has a better tracking performance. It can meet control requirements very well.

scholarly journals Modelling and Controller Design for Non- Linear Two Tank Interacting System

2020 ◽  
Vol 9 (6) ◽  
pp. 82-85
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Mathematical Modelling ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Linear Process ◽  
Matlab Simulink ◽  
Non Linear ◽  
And Control

This paper explains the mathematical modelling and controller design of Two Tank Interacting System (TTIS) for a non-linear process. To design the non-linear process using Matlab Simulink and control the process using conventional PID controller and Fuzzy Logic Controller (FLC). A comparative study was conducted extensively made to examine which controller suits well for the non-linear process through the response observed.

Simulation Analysis of Non-Linear Fuzzy PID Temperature Controller

2013 ◽  
Vol 465-466 ◽  
pp. 677-681 ◽  
Author(s):  
Ling Yuen Ang ◽  
Fairul Azni Jafar
Keyword(s):  
Pid Controller ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Integral Term ◽  
Temperature Controller ◽  
Non Linear ◽  
The Stability

The objectives of the project are to simulate linear Mamdami type fuzzy temperature controller and non-linear Takegi-Sugeno type fuzzy temperature controllers using MATLAB and Simulink, and to compare the performance between the two controllers. A case study has been created to test the controllers involved a water boiler, where the system is modeled using Joules Law and Law of Thermodynamics. A Proportional-Integral-Derivative (PID) controller was tuned and the PID parameters were then used to obtain the gain of the fuzzy controllers. Simulation results confirmed that non-linear fuzzy controller has smaller overshoot and faster settling time compared to the linear fuzzy controller and PID controller, although an extra derivative gain may be needed for the non-linear fuzzy controller if the integral term is huge enough to affect the stability of the system.

scholarly journals Electromagnetic Analysis of Fuzzy Controlled Active Magnetic Bearings

2018 ◽  
Vol 188 ◽  
pp. 04011
Author(s):  
Theodoros Psonis ◽  
Pantelis G. Nikolakopoulos ◽  
Epaminodas Mitronikas
Keyword(s):  
Magnetic Field ◽  
Pid Controller ◽  
Dynamic Modelling ◽  
Horizontal Axis ◽  
Magnetic Bearings ◽  
Rotating Magnetic Field ◽  
Normal Operation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Non Linear

The main objective of the current paper is to present the electromagnetic and thermal analysis of an AMB which is controlled by a non-linear controller, taking into account the weight of the rotor. The system consists of a rotor and two pairs of electromagnets, each one placed on the vertical and horizontal axis respectively. A Fuzzy PID controller [Fig. 2] is used to control a pair of electromagnets (vertical or horizontal axis) of the AMB system and the rotor. The magnetic field simulation has been implemented through the ANSYS software and the control settings have been simulated using MATLAB/SIMULINK software. The interaction between these two programs is presented throughout this study. In order to define the dynamic modelling of the overall system, it is considered that the rotating magnetic field of the motor does not affect the AMB. The coil of the magnetic bearings is fed by a controlled power source. As it has already been mentioned above, the non-linear control model is implemented through a Fuzzy PID Controller, while the system is disrupted by a white noise signal for the simulation of the disturbances taking place during normal operation.

scholarly journals PENGGUNAAN PROPORTIONAL INTEGRAL DERIVATIVE ( PID ) CONTROLLER PADA FILTER AKTIF UNTUK MEREDAM HARMONISA AKIBAT BEBAN NON LINIER DI BALI NATIONAL GOLF RESORT

2018 ◽  
Vol 4 (2) ◽  
pp. 138
Author(s):  
I Gusti Made Widiarsana ◽  
I Wayan Rinas ◽  
I Wayan Arta Wijaya
Keyword(s):  
Electric Power ◽  
Pid Controller ◽  
Active Filter ◽  
Electric Power System ◽  
Wave Form ◽  
Proportional Integral ◽  
Linear Load ◽  
Non Linear ◽  
Non Linear Load ◽  
High Level

Bali National Golf Resort has a high level of non-linear load usage. A harmonic is emerged due to a high level of non-linear load usage which was the main problem on the quality of electric power. On the other hand, it is also lead to an adverse impact for the electric power system such as the wave form and voltage were not sinusoidal. Then, in order to reduce it, an active filter could be used as one of the best way. This research focused on the simulation of PID (Proportional Integral Derivate) Controller towards an active filter to reduce the harmonic and MATLAB R2013 software that applicated as the instrument. As the result,the usage of PID Controller on the active filter could reduce the THDi into 1.89% and THDv into 0.59 % as an average percentage at Bali National Golf Resort.

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