scholarly journals PID Controller optimization using Metahuristic Controller with Different Nonlinearities

2021 ◽  
Vol 12 (2) ◽  
pp. 764-771
Author(s):  
G. Sundari, Et. al.
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Closed Loop ◽  
Error Function ◽  
Second Order ◽  
Settling Time ◽  
Order System ◽  
Pid Controllers ◽  
Dynamic Performances ◽  
Conventional Methods

This paper mainly explains the application of Metaherustic controller for tuning the parameter of PID controller. The minimization of error function has been done by improving the static and dynamic performances of the system like steady state error, Peak Overshoot, and Settling Time. This could be possible by means of applying metaherustic controller like GA in tuning the PID controllers under different Nonlinearities. The main intention of this paper is to support the specifications of PID controller at various Nonlinearities such as sinusoidal and saw tooth noise. The projected scheme derives the wonderful closed-loop response of second order system and then, it provides the effectiveness of the proposed method compared to the conventional methods.

scholarly journals Comparison and Speed Control of DC Motor and DC Servomotor Using IMC Based PID Controller

2021 ◽  
Vol 6 (12) ◽  
pp. 493-501
Author(s):  
Amarapini Divya and Dr.Prasadarao Bobbili
Keyword(s):  
Time Domain ◽  
Rise Time ◽  
Pid Controller ◽  
Speed Control ◽  
Dc Motor ◽  
Settling Time ◽  
Peak Amplitude ◽  
Pid Controllers ◽  
Frequency Method ◽  
Dc Servomotor

IMC based PID controllers are being used to speed control of DC motor and DC servomotor in industry. As this controller offer good performance comparitive to conventional controllers like PI, PID and Ziegler Nichols frequency method controllers. This paper presents the speed control of the DC motor and DC servomotor using PI, PID, Ziegler Nichols method and IMC-PID controllers, to realize the optimization of control action. A mathematical calculation of DC motor and DC servomotor has developed and simulations are carried out in MATLAB/ Simulink environment. From the results, it is observed that time domain parameters like rise time 0.6 secs, settling time 2 secs, speed for peak over shoot 1450, peak amplitude 1, with no oscillations using IMC-PID controller on DC motor. And for DC servomotor its rise time is 0.3 seconds, settling time is 1 second, speed for peak overshoot 1450 rpm, peak amplitude 1 with absence of oscillations by using IMC-PID controller

scholarly journals Analisis Penalaan Kontrol PID pada Simulasi Kendali Kecepatan Putaran Motor DC Berbeban menggunakan Metode Heuristik

2013 ◽  
Vol 1 (2) ◽  
pp. 79 ◽  
Author(s):  
WALUYO WALUYO ◽  
ADITYA FITRIANSYAH ◽  
SYAHRIAL SYAHRIAL
Keyword(s):  
Steady State ◽  
Rise Time ◽  
Pid Controller ◽  
Settling Time ◽  
Control Parameters ◽  
Motor Speed ◽  
Set Point ◽  
Dc Motors ◽  
And Control ◽  
Peak Value

ABSTRAKMotor DC banyak digunakan di industri kecil dan besar.Kecepatan motor DC sering tidak stabil akibat gangguan dari luar maupun perubahan parameter dan torsi beban sehingga perlu dilakukan rancangan kontroler.Kontroler yang dirancang menggunakan PID yang terdiri dari tiga jenis cara pengaturan yang dikombinasikan, yaitu kontrol P (Proportional), kontrol I (Integral) dan kontrol D (Derivatif).Kontroler yang dirancang disimulasikan menggunakan perangkat lunak. Hasil simulasi menunjukan kontroler PID untuk kendali kecepatan motor DC ini menghasilkan kondisi robust (kokoh) saat nilai Kp = 1,1, Ti = 0,1, Td = 3,7. Hasil dari parameter kendali yang dirancang memiliki error steady state 0,99 % dan dengan settling time 3,7 detik pada rise time 2,00 detik dan nilai peak terletak pada 0,99. Kecepatan awal yang dihasilkan mendekati set point yang diinginkan pada detik ke 6 dan kecepatannya tidak ada penurunan atau tetap konstan sampai dengan detik ke 100.Kata kunci: Motor DC, PID, Heuristik, Steady State, Rise Time ABSTRACT DC motors are widely used in small and large industries. Their speeds are often unstable due to interference from outside or change the parameters and load torque, so that it was necessary to design a controller. The controller was designed using a PIDconsists of three types of arrangements, which are mutually combined way, namely the control P (Proportional), control I (Integral) and control D (Derivative). The controllers were designed using software for simulation. The simulation results showed the PID controller for DC motor speed control produced robust conditionswhen the value of Kp, Ti and Tdwere 1.1,  0.1 and 3.7 respectively. The results of the control parameters had error steady state 0.99 % and the settling time of 3.7 seconds at 2.0 sec rise time and the peak value was 0,99. The resulted initial velocity was very fast to approach the desired set point in the sixth second and its speed was remain constant until 100thsecond.Keywords: Motor DC, PID, Heuristic, Steady State, Rise Time

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.

scholarly journals Fuzzy pH control of sugarcane juice for sugar production

2020 ◽  
Vol 9 (9) ◽  
pp. e13996321
Author(s):  
Manuel Ferreira Silva Neto ◽  
Antonio Manoel Batista da Silva ◽  
Edilberto Pereira Teixeira ◽  
Marcelo Lucas
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Ph Control ◽  
Pid Controllers ◽  
Control Methods ◽  
Nonlinear Characteristics ◽  
Fuzzy Controllers ◽  
Sugar Mills ◽  
Comparison Of The Results ◽  
State Error

A proposal to control the pH of the broth in sugar mills is presented in this work. Because it is a system with nonlinear characteristics and disturbances, the conventional control methods do not satisfy the usual requirements of the process. Among these conventional methods, we highlight the PID controller, which is basically linear. Extending the possibilities of action, the control proposal presented in this work proved to be quite satisfactory, by using fuzzy logic in a predictive way in the consideration of the effect of the disturbances in an intelligent way. The details of the proposed controller are presented, including some simulation results. The effectiveness of the proposed controller is illustrated by simulation, showing graphically the disturbances and the consequent control action, which eliminates the steady state error. The comparison of the results obtained with conventional PID controllers and the fuzzy controllers shows the predictive action of the fuzzy controllers allowing a significant reduction in the variability of the steady state error. In addition, this architecture can be modified to include other disturbances for other applications. Thus, the present proposal can be used in general to control non-linear and multivariable systems.

scholarly journals Rancang Bangun Sistem Kendali Kecepatan Putar Motor DC menggunakan PID Controller pada Mesin Pengaduk

2018 ◽  
pp. 81-92
Author(s):  
Kasmira Kasmira ◽  
Abdul Waris ◽  
Muhammad Tahir Sapsal
Keyword(s):  
Steady State ◽  
Solid State ◽  
Internal Control ◽  
Pid Controller ◽  
Settling Time ◽  
Set Point ◽  
Rotary Encoder ◽  
State Relay

Kegiatan pengadukan bahan-bahan pertanian menjadi berbagai macam produk pangan ataupun non pangan membutuhkan mesin pengaduk. Mesin pengaduk dalam penelitian ini memiliki masalah saat digunakan yaitu bahan yang diaduk melumpah dari wadah, suara yang dihasilkan berisik dan motor cepat panas. Penelitian ini bertujuan untuk menghasilkan sistem kendali yang baik pada mesin pengaduk agar dapat meningkatkan kinerja dari mesin pengaduk. Metode yang dilakukan yaitu perancangan sistem perangkat keras dan perangkat lunak. Sistem perangkat keras menggunakan komponen mikrokontroler, Solid State Relay (driver motor), Motor DC (aktuator), rotary encoder (sensor) dan power supplay (sumber tegangan) sedangkan sistem perangkat lunak berisi algoritma bahasa program kendali PID. Prinsip kerja sistem yaitu lup tertutup dimana kecepatan motor akan terbaca oleh sensor dan diinformasikan ke mikrokontroler untuk membandingkan dengan kecepatan yang diinginkan, kemudian memperbaiki kesalahan yang terjadi. Berdasarkan hasil tuning dengan menggunakan metoda internal control (MIC) diperoleh konstanta PID sebesar Kp: 0.259, Ki:5.647 dan Kd: 0.200. Nilai konstanta yang diperoleh sudah dapat memberikan kestabilan pada berbagai kecepatan (62,130,190 dan 252 rpm). Pengujian kecepatan motor DC pada mesin pengaduk dengan mengunakan beban yaitu adonan roti dan kedelai menghasilkan kecepatan yang dapat mengikuti set point (kecepatan yang diinginkan) dan respon sistem menunjukkan settling time yang pendek, overshoot bernilai 0 dan nilai error steady state yang masih berada pada batas toleransi yaitu 2% atau 5%.

scholarly journals Objective functions modification of GA optimized PID controller for brushed DC motor

2020 ◽  
Vol 10 (3) ◽  
pp. 2426
Author(s):  
A.A.M. Zahir ◽  
Syed Sahal Nazli Alhady ◽  
A.A.A Wahab ◽  
M.F. Ahmad
Keyword(s):  
Steady State ◽  
Objective Function ◽  
Rise Time ◽  
Pid Controller ◽  
Optimization Method ◽  
Settling Time ◽  
Performance Parameter ◽  
Objective Functions ◽  
Performance Requirement ◽  
State Error

PID Optimization by Genetic Algorithm or any intelligent optimization method is widely being used recently. The main issue is to select a suitable objective function based on error criteria. Original error criteria that is widely being used such as ITAE, ISE, ITSE and IAE is insufficient in enhancing some of the performance parameter. Parameter such as settling time, rise time, percentage of overshoot, and steady state error is included in the objective function. Weightage is added into these parameters based on users’ performance requirement. Based on the results, modified error criteria show improvement in all performance parameter after being modified. All of the error criteria produce 0% overshoot, 29.51%-39.44% shorter rise time, 21.11%-42.98% better settling time, 10% to 53.76% reduction in steady state error. The performance of modified objective function in minimizing the error signal is reduced. It can be concluded that modification of objective function by adding performance parameter into consideration could improve the performance of rise time, settling time, overshoot percentage, and steady state error

scholarly journals Design and Implementation of PID, GA and Fuzzy logic Controllers for an Electrical Drive with Various Noise Disturbances

2020 ◽  
Vol 9 (3) ◽  
pp. 449-453
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Fitness Function ◽  
External Noise ◽  
Pid Controllers ◽  
Matlab Simulation ◽  
State Behavior ◽  
Intelligent Technique ◽  
Noise Disturbances ◽  
Transient And Steady State

It is a great challenge for human being to keep up the constant speed in drive when external Noise disturbances occur due to fluctuations of power supply. In order to avoid these issues, PID controllers are intended using predictable method such as Ziegler Nichols method. But finest level is not obtained in transient and steady state. During the MATLAB Simulation, the error is present transient and steady state behavior in conventional PID controllers. Hence it is necessary to design a PID controller with Novel intelligent technique for speed control of drive like fuzzy and Genetic Algorithm. It considers error as fitness function which is to be minimized using various GA operators such as mutation etc. The Drive will be operated with different external noises like sinusoidal noise, Saw tooth noise and Ramp noise and comparison between PID, GA and Fuzzy PID will be presented and their performances are studied.

Adaptive LMS Model-Following Control Applied Inside a Closed-Loop

1997 ◽  
Author(s):  
Bradley R. Smith ◽  
H. H. Robertshaw
Keyword(s):  
Feedback Loop ◽  
Closed Loop ◽  
Delay Line ◽  
Second Order ◽  
Order System ◽  
Control Problems ◽  
Model Following Control ◽  
Model Following ◽  
Adaptive Lms ◽  
Unknown Solution

Abstract A Least Mean Squares (LMS)-style algorithm is derived for the feedback control problem. The algorithm allows a tap delay line within the closed loop to be used for control applications. This paper derives the algorithm and applies the algorithm to two simple control problems for which the solution is known and to one problem with an unknown solution. The first problem is a stable second-order system. The second problem is a unstable second-order system which is initially stabilized with the feedback loop. In both problems, the weights converge to the expected values. The stable problem is used again with an inaccurate model that has 50% more damping than the actual plant. The weights converge to a solution which increases the performance of the controller.

scholarly journals Nonlinear MIMO Control of a Continuous Cooling Crystallizer

2012 ◽  
Vol 2012 ◽  
pp. 1-11
Author(s):  
Pedro Alberto Quintana-Hernández ◽  
Raúl Ocampo-Pérez ◽  
Salvador Tututi-Avila ◽  
Salvador Hernández-Castro
Keyword(s):  
Pid Controller ◽  
Closed Loop ◽  
Crystal Size ◽  
Operating Conditions ◽  
Pid Controllers ◽  
Absolute Value ◽  
The Third ◽  
Operation Conditions ◽  
Metastable Zone ◽  
Third Moment

In this work, a feedback control algorithm was developed based on geometric control theory. A nonisothermal seeded continuous crystallizer model was used to test the algorithm. The control objectives were the stabilization of the third moment of the crystal size distribution (μ3) and the crystallizer temperature (T); the manipulated variables were the stirring rate and the coolant flow rate. The nonlinear control (NLC) was tested at operating conditions established within the metastable zone. Step changes of magnitudes ±0.0015 and ±0.5°C were introduced into the set point values of the third moment and crystallizer temperature, respectively. In addition, a step change of ±1°C was introduced as a disturbance in the feeding temperature. Closed-loop stability was analyzed by calculating the eigenvalues of the internal dynamics. The system presented a stable dynamic behavior when the operation conditions maintain the crystallizer concentration within the metastable zone. Closed-loop simulations with the NLC were compared with simulations that used a classic PID controller. The PID controllers were tuned by minimizing the integral of the absolute value of the error (IAE) criterion. The results showed that the NLC provided a suitable option for continuous crystallization control. For all analyzed cases, the IAEs obtained with NLC were smaller than those obtained with the PID controller.

scholarly journals Fractional-Order PID Controlled Unified Power Quality Conditioner System with Enhanced Response

2019 ◽  
Vol 9 (1) ◽  
pp. 6246-6250
Keyword(s):  
Steady State ◽  
Dynamic Response ◽  
Power Quality ◽  
Fractional Order ◽  
Closed Loop ◽  
Settling Time ◽  
Unified Power Quality Conditioner ◽  
Non Linear ◽  
Power Quality Conditioner ◽  
Fractional Order Pid

Recently, ‘UPQC’ has been urbanized as a FACTS controller near weak buses and buses with non linear loads. ‘UPQC’ can improve receiving end voltage and provide time harmonics to the load. The UPFC and ‘UPQC’ systems are compared to find a better FACTS controller. The recommended closed loop ‘UPQC’ framework is to augment dynamic response of ‘UPQC’ system using FOPID controller. Simulink replicas are extended for PI &FOPID controlled ‘UPQC’ frameworks. The denouements of PI&FOPID based ‘UPQC’ frameworks designate that voltage retaliation of FOPID is predominant to the denouement of PI managed ‘UPQC’ system. The investigation denotes that FOPID ’UPQC’ framework has diminished settling time& steady state error.

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