Practical Implementation of an Enhanced Nonlinear PID Controller Based on Harmony Search for One-Stage Servomechanism System

2020 ◽  
Vol 9 (2) ◽  
pp. 189-205
Author(s):  
Mohamed. A. Shamseldin ◽  
Mohamed Sallam ◽  
A.M. Bassiuny ◽  
A.M. Abdel Ghany
Keyword(s):  
Pid Controller ◽  
Harmony Search ◽  
Practical Implementation ◽  
One Stage ◽  
Nonlinear Pid Controller

scholarly journals Real-time implementation of an enhanced nonlinear PID controller based on harmony search for one-stage servomechanism system

2018 ◽  
Vol 12 (4) ◽  
pp. 4161-4179
Author(s):  
Mohamed. A. Shamseldin ◽  
Mohamed Sallam ◽  
A. M. Bassiuny ◽  
A. M. Abdel Ghany
Keyword(s):  
Real Time ◽  
Pid Controller ◽  
Controller Design ◽  
Optimization Technique ◽  
Harmony Search ◽  
Reference Test ◽  
Variable Position ◽  
Labview Software ◽  
One Stage ◽  
Search Optimization

This paper presents a real-time implementation of an enhanced nonlinear PID (NPID) controller to follow a preselected position profile of one stage servomechanism drive system. This purpose should be realized regardless the different operating points and external disorders (friction and backlash). In this study, the MATLAB Simulink used for purpose of controller design while the result from simulation will be executed in real time using LABVIEW software. There is not enough information about the servomechanism experimental setup so, the system identification techniques will be used via collecting experimental input/output data. The optimum parameters for the controllers have been obtained via harmony search optimization technique according to an effective cost function. Also, the performance of enhanced NPID controller has been investigated by comparing it with linear PID controller.  The experimental and simulation results show that the proposed NPID controller has minimum rise time and settling time through constant position reference test. Also, the NPID control is faster than the linear PID control by 40% in case of variable position reference test.

Optimal hybrid scheme of dynamic neural network and PID controller based on harmony search algorithm to control a PWM-driven pneumatic actuator position

2017 ◽  
Vol 24 (16) ◽  
pp. 3538-3554 ◽  
Author(s):  
Mahmood Mazare ◽  
Mostafa Taghizadeh ◽  
Mohammad Ghasem Kazemi
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Pulse Width Modulation ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Pneumatic Actuator ◽  
Hybrid Scheme ◽  
Dynamic Neural Network ◽  
Switching Valve

In this paper, the position of a pulse width modulation (PWM)-driven pneumatic actuator has been controlled using a dynamic neural network (DNN) and Proportional Integral Derivative (PID) controller. The harmony search algorithm (HSA) has been used to unravel the optimization problem. The DNN controller is optimally designed to control the position of the actuator. As to the performance of the PID controller, it can assist the DNN controller to give better results. Therefore, an optimal hybrid scheme with both DNN and PID controllers based on HSA is suggested. A pneumatic circuit containing a fast-switching valve is used to reduce the complexity of the PWM-driven servo pneumatic system along with its cost price.

Optimal Design of PID Controller for Load Frequency Control using Harmony Search Algorithm

2017 ◽  
Vol 5 (1) ◽  
pp. 19 ◽  
Author(s):  
D. K. Sambariya ◽  
Seema Shrangi
Keyword(s):  
Pid Controller ◽  
Search Algorithm ◽  
Frequency Control ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Simulation Software ◽  
Load Frequency Control ◽  
Comparative Performance ◽  
Computing Technique ◽  
Comparative Results

This paper deals with soft computing technique, used for tuning PID controller. Controller tuned with a harmony search algorithm is used for controlling the frequency and Tie-line power responses of a non reheat two area power system. Step load perturbation has been given in both areas simultaneously. The dynamic results obtained by the proposed controller are compared with PID controller of recent published paper. The performance of the controllers is simulated using MATLAB/Simulation software. The results of tuned PID are compared with conventional controller on the basis of settling-time, peak over-shoot and peak under-shoot. Proposed PID gives better results than the conventional controller. The comparative results<br />also tabulated as a comparative performance.

A Nonlinear Feedback Control Scheme for Transient Performance Enhancement in Hard Disk Drives

2014 ◽  
Author(s):  
Minghui Zheng ◽  
Xu Chen ◽  
Masayoshi Tomizuka
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Control Algorithm ◽  
Hard Disk Drives ◽  
Hard Disk ◽  
Disk Drives ◽  
Transient Performance ◽  
Nonlinear Feedback ◽  
Nonlinear Pid Controller ◽  
Steady State Performance

This paper aims to develop a nonlinear control algorithm to break the limitations of linear PID controls and improve the transient performance during the short-span track seeking / settling in hard disk drives (HDDs). It is designed based on a baseline PID controller which is well-designed to obtain good track following performance. The control algorithm is a combination of a nonlinear PID controller and a nonlinear turbo controller (NTC): when the position error signal (PES) is large, NTC assists the nonlinear PID controller to rapidly reduce the error; when PES is small, NTC is turned off to avoid possible chattering and ensure good steady state performance. As PES becomes even smaller, the nonlinear PID controller is reduced to the baseline PID controller to keep good steady state performance.

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