Authors: Dominic Kata, Julius Gatune, Innocent Kanana
Abstract: This paper discusses the feasibility of geothermal power as a sustainable solution within the agri-food chain focusing on relational to global decarbonization plans. As the world shifts focus towards sourcing Renewable energy for minimal emission of greenhouse gases. Geothermal energy is receiving a lot of attention for its reliability. The Geotto system, which was piloted in the Eburru community of Kenya, showed how geothermal energy – IoT – AI interaction could be utilized in agricultural economies to the optimal level. The project of developing locally-owned incubators powered by geothermal energies helped to increase the hatch ratios as well as the energy, but not the fossil fuel consumption. The cross-sectional utilization of this resource in, for instance, crop drying, greenhouses, and fish farming was discussed as a prospect. Some of the challenges that were observed in Geotto’s case are technical barriers and the opposition to the adoption of new technology by the public and relevant authorities. The Geotto team tackled these problems in cooperation with the community and local government. From this pilot study, it is evident that geothermal power holds promise and value to be pursued as a long-term investment in the pursuit of higher food productivity with less pollution in addition to aiding the case for decarbonization. The pilot findings indicate that the kind of systems being implemented can likely be extended to other agricultural segments to support grassroots initiatives and strengthen world economies.
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Authors: Maemo Rathedi, Oduetse Matsebe, Nonofo M.J. Ditshego
Abstract: This study evaluates different control algorithms used in a hydroponic farming system to improve the quality of farm produce and resource efficiency. It focuses on three key hydroponic control parameters(potential hydrogen (pH), water level, and temperature control). Mathematical models are derived from the literature to represent hydroponic environments. These models are used for simulation purposes in MATLAB software to implement various control algorithms to evaluate their performance against each other and the system requirements utilizing transient performance parameters. Transient performance parameters are overshoot, settling time, rise time ,and steady-state error. The various control algorithms are fuzzy logic (FL), Proportional Integral Derivative (PID), and Proportional Integral Derivative-Fuzzy logic controller (PID-FL). This paper examines the performance of the hybrid PID-FL controllers compared to the most commonly used fuzzy logic and PID controllers. The result of the work shows that PID-FL is generally better for all the system models, making it more applicable.
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Authors: Yunn Lin Hwang, Adhitya Adhitya
Abstract: The purpose of this paper is to investigate the effect of friction on two wheels vehicle control. First, the two wheels vehicle model is presented. Then, the dynamic analysis are performed by studying the dynamic of inverted pendulum. The PID control is used as the control method to control motor for balancing two wheels vehicle. Furthermore, the numerical modeling is created and the friction is given on joint with varying the coefficient of friction in numerical simulation. Moreover, the optimize PID value is presented and then the numerical simulation is performed.
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Authors: Yunn Lin Hwang, Thi Na Ta, Adhitya Adhitya
Abstract: Tribology applied method (TAM) is a method to investigate the interacting surface in relative motion includes the principles of friction, lubrication, and wear. The main objective of this study is to investigate the effect of structural material property on Multi-body dynamic. The stick-slip friction (SSF) and the contact normal force is used as influence of machine tools in numerical simulation. The numerical simulation is conducted on three axes CNC machine without friction, with sliding friction and with SFF to find out the effect of the influence parameter. The PID controller is used as the compensation in the numerical simulation. The result show that the unsmooth motion of CNC machine due the friction will affect the accuracy and the performance of the CNC machine.
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Authors: Yang Hua, Zi Jian Yang
Abstract: Through the analysis of the motion mode of the two-wheel self-balance vehicle, a system of a two-wheel self-balance vehicle is presented in this paper. This system takes the chip STM32 as the controller, and it uses the MPU-6050 to collect the acceleration and angular velocity date of the vehicle. Then using the software filtering and quaternion fusion algorithm to know the motion of the vehicle. The MCU handles the data through combining PID algorithm and outputs PWM to L298 to motor two DC motors to control the vehicle’s posture.
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Authors: Zhao Hua Liu, San Peng Deng, Yong Xiang Jiang
Abstract: According to the characteristics of the electro-hydraulic position servo system of asymmetric hydraulic cylinder controlled by symmetric valve and its performance requirements, the PID controller based on disturbance observer is introduced. The improved controller can observe the equivalent disturbances and introduce the equivalent compensation to the control system, so it can achieve suppression of disturbance. In the MATLAB Simulink environment, the simulation results show that the controller has the very good quick response, the stronger robustness and the higher tracking precision.
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Authors: Ming Jun Chen, Wen Jing Ma, Yong Xiao
Abstract: PID parameters of machine tool for micro-defect mitigation of KDP crystal had been optimized, after which the velocity fluctuation frequency and amplitude variation of motion axis under different spindle speeds were studied. It is evident that the stability and following errors of the system run better under the velocity&acceleration feed forward PID control algorithm and Notch filters. The velocity fluctuation frequency of motion axis varies with spindle speeds significantly when the tool system is stable, while the fluctuation amplitude variation is slightly changed. To be conclude, the optimal working spindle speed is verified to be 4.78×104 rpm based on comparative experiments, at which damage pits can be mitigated by micro-machining successfully with roughness value of 34.4nm.
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Authors: M.N. Azuwir, Mohd Sazli Saad, Mohd Zakimi Zakaria
Abstract: This paper investigates the performance of a real-time self-tuning speed controller designed to track and regulate at various engine speeds. The controller was tested with an automotive engine fuelled with petroleum diesel and and palm oil biodiesel (Palm Methyl Esters) within speed range of 1800 rpm to 2400 rpm. A self-tuning control algorithm based on pole assignment method together with on-line model parameters estimation strategy based on the recursive least squares method are adopted. The ability of the controller to track, regulate at various engine speed and also to reject disturbances applied for both type of fuel are compared and presented. The results confirmed that the controller performed very satisfactorily.
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Authors: Miluse Viteckova, Antonin Vitecek
Abstract: At present the two degrees of freedom (2DOF) controllers are more often available. These controllers enable to tune both from point of view of the desired variable and the disturbance variable as well. It allows increase the overall quality of control. For the tuning of the 2DOF controllers to date there are only a few suitable methods. This paper is devoted to the tuning of the 2DOF PI and PID controllers by the multiple dominant pole method (MDPM) for first order plants and integrating plants with time delay. It is an analytical method and it is shown that by the corresponding tuning of the 2DOF controllers it is possible to obtain the non-oscillatory servo and regulatory step responses without overshoots. The use is demonstrated in the example.
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Authors: Shamsul Aizam Zulkifli, Mohd Khairul Akli Ab Ghani, Farih Deraman, Nawi Berahim, Abdul Hadi Abdullah, Razali Tomari
Abstract: This paper focuses on investigation of various voltage controllers which are the Proportional Integration Derivative (PID) control and P-Resonant control in order to observe the efficiency of the low cost microcontroller such as Arduino for the gating signals generation. Both of the controllers have been selected due to the availabality of the block diagrams that can be build in the MATLAB. The MATLAB-Simulink block will be used as the interface between the design controller to the Arduino board before downloaded into Arduino. The results show, the Arduino is able to operate from various controllers but it gives better result when the P-Resonant controller has been used.
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