Performance of Optimum Tuned PID Controller with Different Feedback Strategies on Active-Controlled Structures

In this study, multi-story structures with different combinations (on each floor and only the first floor) of active tendon control systems driven by a proportional–integral–derivative (PID) controller were actively controlled. The PID parameters, Kp (proportional gain), Td (derivative gain), and Ti (integral gain) for each structure, were optimally tuned by using both the harmony search algorithm (HS) and flower pollination algorithm (FPA), which are metaheuristic algorithms. In two different active-controlled structures, which are formed according to the position of the PID, the structural responses under near-fault records defined in FEMA P-695 are examined to determine the appropriate feedback which was applied for displacement, velocity, acceleration, and total acceleration. The performance of the different feedback strategies on these two active-controlled structures is evaluated. As a result, the acceleration feedback is suitable for all combinations of the active control system with a PID controller. The HS algorithm outperforms the optimum results found according to the FPA.

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

Journal of Vibration and Control ◽

10.1177/1077546317707102 ◽

2017 ◽

Vol 24 (16) ◽

pp. 3538-3554 ◽

Cited By ~ 10

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.

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Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve

Neural Computing and Applications ◽

10.1007/s00521-011-0678-3 ◽

2011 ◽

Vol 22 (2) ◽

pp. 329-336 ◽

Cited By ~ 17

Author(s):

Hui Wang ◽

Xiaofang Yuan ◽

Yaonan Wang ◽

Yimin Yang

Keyword(s):

Pid Controller ◽

Search Algorithm ◽

Harmony Search ◽

Harmony Search Algorithm ◽

Fuzzy Pid ◽

Electronic Throttle ◽

Fuzzy Pid Controller ◽

Throttle Valve

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

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v5.i1.pp19-32 ◽

2017 ◽

Vol 5 (1) ◽

pp. 19 ◽

Cited By ~ 2

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.

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Harmony search optimization for robust pole assignment in union regions for synthesizing feedback control systems

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331217695670 ◽

2017 ◽

Vol 40 (6) ◽

pp. 1956-1969 ◽

Cited By ~ 1

Author(s):

Junchang Zhai ◽

Liqun Gao ◽

Steven Li

Keyword(s):

Control Systems ◽

Discrete Time ◽

Continuous Time ◽

Search Algorithm ◽

Harmony Search ◽

Pole Assignment ◽

Harmony Search Algorithm ◽

Time System ◽

Feedback Control Systems ◽

Time Systems

This paper is concerned with robust pole assignment optimization for synthesizing feedback control systems via state feedback or observer-based output feedback in specified union regions using the harmony search algorithm. By using exact pole placement theory and the harmony search algorithm, robust pole assignment for linear discrete-time systems or linear continuous-time systems in union regions can be converted into a global dynamical optimization problem. The robust measured indices are derived for robust union region stability constraints and a robust [Formula: see text] performance. For the nonlinear, robust measured indices, a set of dynamic poles and the corresponding feedback controllers can be obtained by global dynamic optimization based on the harmony search algorithm and the idea of robust exact pole assignment. One key merit of the proposed approach is that the radius or the position of the sub-regions can be arbitrarily specified according to the transient performance request. Furthermore, the eigenstructure of the closed-loop system matrix can be optimized with better robustness for the proposed approach. Finally, the simulation results for a discrete-time system and a continuous-time system demonstrate the effectiveness and superiority of the proposed method.

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