Optimal Tuning of a Pid Controller for Emdap-CVT Using Particle Swarm Optimization

Dzahir, Mohd Azwarie Mat; Hussein, Mohamed; Tawi, Kamarul Baharin; Yaakob, Mohd Shafiek; Mohamad, Mohd Saberi

doi:10.11113/jt.v75.5342

Cited by 7 publications

(7 citation statements)

References 14 publications

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“…Another alternative solution is to use a dual acting pulley system which moves simultaneously to keep the alignment of the belt in centre position, thus preventing the belt misalignment from occurring. This system namely electro-mechanical dual acting pulley (EMDAP) CVT consists of two DC motors, power screw mechanism and two set of movable pulleys in both driver and driven sides [19][20][21][22][23][24]. The drawbacks of this system are that it is complicated and precise control system needs to be implemented to control the two DC motors to gain the desired CVT ratio.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of a New Single Actuator Double Acting Electro-Mechanical Continuously Variable Transmission

Nuri¹,

Hudha²,

Mazlan³

2018

IJMERR

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This paper presents a new design of an electromechanical Continuously Variable Transmission (CVT) by using dual acting pulley at driver and driver sides with single actuator to vary the belt radius. Several conceptual designs on pulley geometry and its working mechanism were proposed and evaluated. The best evaluation design was selected and a prototype of the CVT system, namely single actuator double acting electro-mechanical (SADAEM) CVT system was built. All the mathematical equations will be derived in this paper and the modelling was developed using MATLAB Simulink software. The performance of the SADAEM CVT system was evaluated in term of belt radius and CVT ratio tracking by using proportional−integral−derivative (PID) controller. The results obtained by the simulation showed that the response trends were similar with an acceptable error. 

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Section: Introductionmentioning

confidence: 99%

Design and Simulation of a New Single Actuator Double Acting Electro-Mechanical Continuously Variable Transmission

Nuri¹,

Hudha²,

Mazlan³

2018

IJMERR

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“…In some types of EMCVTs, the driven pulley clamping force cannot be controlled to achieve a desired value, and the clamping force is even only related to the speed ratio [11]. Extensive research has been conducted on EMCVT modeling and control strategy: Zhang et al [12] devised a control system model and analyzed the structure of an EMCVT; Supriyo et al [13] studied the clamping force mechanism of an EMCVT; and Dzahir et al [14] controlled the ratio of an EMDAP-CVT with a PID controller using particle swarm optimization. These models and control strategies have a limitation in that they have all been constructed on the basis of an already designed actuator.…”

Section: Introductionmentioning

confidence: 99%

“…The research on EMCVTs so far focuses on the ratio and clamping force control [9][10][11][12][13][14], but few studies have been conducted on the actuator parameter design and optimization. The actuator parameters of an EMCVT are crucial factors to ensure quick ratio response control and efficient power transmission.…”

Section: Introductionmentioning

confidence: 99%

Forward parameter optimization design for actuator of electromechanical continuously variable transmission

Sun

Liu

2018

J Braz. Soc. Mech. Sci. Eng.

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An electromechanical continuously variable transmission (EMCVT) with an actuator containing two direct current (DC) motors is proposed to improve the transmission efficiency of a continuously variable transmission (CVT) by reducing the power consumed by the CVT actuator. To enhance the EMCVT efficiency, the ratio and driven pulley clamping force are adjusted using an electromechanical actuator. It is required that the adjustable range of the driven pulley clamping force of the EMCVT is maximized and the operating power of the DC motors in the actuator is minimized. However, this adjustable range is limited when the actuator is designed for the maximum required driven pulley clamping force. To ameliorate this issue, the electromechanical actuator is optimized in this paper. The structure and operating principles of the EMCVT are illustrated, and the main actuator part models are built. Accordingly, the design principle of the main actuator parts is determined. The required clamping force for four standard driving cycles is considered, and the structural parameters of Belleville springs in the actuator are optimized using a genetic algorithm. Two DC motors are suitably selected, and the mechanical transmission system of the actuator is determined. The optimization results show that the adjustable range of the driven pulley clamping force is increased by over 80% for a high CVT ratio and that the energy consumed by the actuator is reduced for ECE and EUDC driving cycles by ~ 56% and ~ 28%, respectively, as compared to the energy consumed by the actuator before optimization.

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“…Such methods provide optimal results and can be implemented because they do not contain a lot of mathematical equations. PID Control is a linear control for linear systems such as magnetic actuator [11], Position Control [12], Trajectory Control [13], Brushless DC motors [14], and Brushed DC Motor [15] so that the PID controller has been widely used by some researchers for example by Ziegler Nichols [16], as a motor controllers since PID has a simple structure with a method of determining a common PID parameter, thus it has the ability in suppressing an interference well. However, it results in a large percentage of overshoot and the control signaling used tends to be large, which may cause saturation in the actuator.…”

Section: Introductionmentioning

confidence: 99%

Hover Position of Quadrotor Based on PD-like Fuzzy Linear Programming

Iswanto

Wahyunggoro

Cahyadi

2016

IJECE

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<p>The purpose of this paper is to present the altitude control algorithm for quadrotor to be able to fly at a particular altitude. Several previous researchers have conducted studies on quadrotor altitude by using PID control but there are problems in the overshoot and oscillation. To optimize the control, tunning on PID algorithm must be first conducted to determine proportional and derivative constants. Hence, the paper presents altitude control modification by using PID-like fuzzy without tuning. The PID algorithm is a control algorithm for linear systems. While, system to be controlled is a non-linear, so that linearization is needed by using equilibrium. The proposed algorithm is a modification of the PID algorithm used as an altitude control which enables quadrotor to be stable when hovering. The algorithm used is not PID algorithm with tuning using fuzzy, but this is a single input single output (SISO) control PID-like fuzzy linear programming. The result of the research shows that quadrotor can hover in a rapid raise time, steady state and settling time without performing overshoot and oscillation.</p>

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Optimal Tuning of a Pid Controller for Emdap-CVT Using Particle Swarm Optimization

Cited by 7 publications

References 14 publications

Design and Simulation of a New Single Actuator Double Acting Electro-Mechanical Continuously Variable Transmission

Design and Simulation of a New Single Actuator Double Acting Electro-Mechanical Continuously Variable Transmission

Forward parameter optimization design for actuator of electromechanical continuously variable transmission

Hover Position of Quadrotor Based on PD-like Fuzzy Linear Programming

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