Evolutionary algorithm-based PID controller tuning for nonlinear quarter-car electrohydraulic vehicle suspensions

Dangor, Muhammed; Dahunsi, Olurotimi Akintunde; Pedro, Jimoh O.; Ali, M. Montaz

doi:10.1007/s11071-014-1626-4

Cited by 50 publications

(29 citation statements)

References 42 publications

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“…PID controller as a classical control algorithm is also applied to solve active suspension problem and optimized with heuristic algorithms. In [25], Dangor et. al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The controller has three parameters that need to determine for a desired performance. In the previous studies [25], it was showed that the conventional PID tuning algorithms are present undesired transient response for many cases when compared with the optimization algorithms. Therefore, in this paper three optimization algorithms are applied to find controller parameters.…”

Section: A Classical Pid Controllermentioning

confidence: 99%

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Optimal PID Design for Control of Active Car Suspension System

Altınöz¹,

Yilmaz²

2018

IJITCS

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Abstract-This research is based on the determination of the parameters of the PID and fractional-order PID controllers designed for quarter-car suspension system. Initially, without considering the active suspension structure, the performance of the passive suspension system under different wheel load index is presented by using the transfer function of the system. Then, by adding a wheel-load, the classical PID controller is designed and applied to the current controlled hydraulic actuator as a part of active suspension system. The parameters of this controller are determined by three heuristic optimization algorithms; Particle Swarm Optimization (PSO), Differential Evolution (DE) and Gravitational Search Algorithm (GSA). As the second part of this study after evaluating the performance of classical PID controller, fractional-order PID controller is designed and applied to the problem to improve the performance of the classical PID controller. Similarly, the parameters of this controller are also obtained by using the same optimization algorithms. In the paper, for modeling the road, instead of sinusoidal (road with hill) or random changes, a saw tooth signal is preferred as a relatively harder condition. Implementation results are showed that the performance of the fractional-order PID controller is much better that PID controller and also instead of relatively complex and expensive controller, it is possible to use fractional-order PID controller for the problem.

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“…PID controller as a classical control algorithm is also applied to solve active suspension problem and optimized with heuristic algorithms. In [25], Dangor et. al.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: A Classical Pid Controllermentioning

confidence: 99%

Optimal PID Design for Control of Active Car Suspension System

Altınöz¹,

Yilmaz²

2018

IJITCS

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“…As to (12), let L i  ≥0 and L i  ≤0, and it is seen that ei fluctuates around 0 now, demonstrating that the inherent tracking error has been totally eliminated. Further, if the coefficient of ei is assumed to be 1, a clearer relation is revealed:…”

Section: Advances In Engineering Research Volume 139 Figure II Pwm mentioning

confidence: 99%

“…And, although many adaptive methods (e.g. the robust adaptive PID control method [9], the artificial neural network PID control method [10], the particle swarm PID control method [11], the evolutionary PID control method [12] and the genetic PID control method [13], etc.) can automatically tune the PID parameters online, the process entails a large quantity of computations, raising a high demand upon the microprocessor and thus being un-suitable for realtime control.…”

Section: Introductionmentioning

confidence: 99%

Pseudo-PID Control of Pulse Width Modulation Inverter for Relay Testing

Sun¹

2018

Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

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Abstract-P and PI control methods are widely used in the closed-loop control of the inverters in various power electronic equipment. However, PID control method is barely adopted. In this paper, from an in-depth analysis of the operation and control processes of pulse width modulation (PWM) inverter, it is verified that PID control method is not suitable for inverter control. And the theoretical process gives birth to a new control method, which is similar but not identical to PID control method, therefore, it is named as pseudo-PID control method. For fundamentality and generality, the pseudo-PID control method is derived from the single-phase PWM inverter, which is the basis of threephase or multilevel inverters. To verify the performance of the pseudo-PID control method, it is applied to a single-phase PWM inverter for relay testing. The simulation and experimental results demonstrate that with the aid of pseudo-PID control method the accuracy of the output current of the inverter is already comparable to that of the linear power amplifier (LPA), which makes the application of inverter in relay testing feasible. Considering the higher efficiency and simpler structure of the PWM inverter, it can make the relay testing device more cost-effective.

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“…In the previous works, there are many type of control techniques have been reported, which can be utilized to control the tracking capability of a nonlinear electrohydraulic actuator system. Each of the control techniques required a proper tuning technique and some of the advanced tuning techniques have been reported recently such as Particle Swarm Optimization (PSO) [13][14][15][16][17][18], Genetic Algorithm (GA) [19][20][21], and Differential Evolution (DE) [22,23].…”

Section: Introductionmentioning

confidence: 99%

An Electro-Hydraulic Servo with Intelligent Control Strategy

Mohammed

Soon

Ghazali

et al. 2018

MATEC Web of Conferences

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Abstract. Versatile engineering applications have been developed to assist, reduce, and avoid human being from any heavy or harmful manufacturing processes. The gradually increased demand in force and position controls have simultaneously increased the usage of Electro-Hydraulic Servo (EHS) system. However, the time varying characteristics such as high-speed, outburst starting and stopping dynamic have led the EHS system to suffer from uncertainties and nonlinearities effects. Therefore, in order to enhance the performance of an EHS to surmount the uncertain and nonlinear effects, a hybrid Fuzzy-PID control strategy is developed which particularly improve the accuracy of the system by enhancing the control performance during the positioning tracking. By measuring the performance of the proposed control approach, the transient response and steady-state analysis will be performed which taking linear and intelligent control strategies as the references in the assessment process. The finding indicates the capability of a hybrid Fuzzy-PID controller in reducing the control effort applied to the EHS system.

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Evolutionary algorithm-based PID controller tuning for nonlinear quarter-car electrohydraulic vehicle suspensions

Cited by 50 publications

References 42 publications

Optimal PID Design for Control of Active Car Suspension System

Optimal PID Design for Control of Active Car Suspension System

Pseudo-PID Control of Pulse Width Modulation Inverter for Relay Testing

An Electro-Hydraulic Servo with Intelligent Control Strategy

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