Sistem kendali miniatur Rotary Car Parking System berbasis kontrol Fuzzy Logic

Rotary car parking system merupakan salah satu model parkir yang efektif digunakan pada area metropolitan karena sistem mekanik dibuat secara vertikal sehingga hemat lahan. Metode penelitian ini yaitu analisis persamaan kinematika, pengujian sistem kendali tanpa fuzzy, dan pengujian sistem kendali fuzzy. Analisis kinematika ini bertujuan untuk menganalisis persamaan kinematika pada sistem mekanik didapatkan menggunakan pendekatan persamaan trigonometri yang mana terdapat pembagian sudut yang berbeda diantaranya 0° - 90°, 90° - 166°, 166° - 180°, 180° - 194°, 194° - 270°, 270° - 360°. Persamaan kinematika ini juga berpengaruh terhadap besar daya motor minimum yaitu sebesar 492,72 watt dengan beban satu kendaraan sebesar 1800 kg. Selain itu, pada pengujian respon sistem tanpa kendali fuzzy didapatkan nilai rise time 0,58 detik, peak time 0,85 detik, settling time 0,89 detik, dan overshoot 0,20%. Sedangkan pada respon sistem kendali fuzzy didapatkan rise time 0,54 detik, settling time 0,36 detik tanpa adanya peak time dan overshoot. Nilai steady state error respon sistem kendali tanpa fuzzy sebesar 4,14% dan nilai steady state error pada respon sistem kendali fuzzy sebesar 2,32%. Berdasarkan data pengujian respon sistem tersebut, sistem kendali fuzzy lebih optimal digunakan pada miniatur RCPS dibandingkan sistem tanpa kendali fuzzy karena tidak adanya overshoot dan nilai eror yang lebih kecil. ABSTRACT Rotary car parking system is one of the effective parking model used in the metropolitan area because of the mechanical system is created vertically so that thrifty spot. The research method consult for analysis of the equation kinematics, testing the system without control fuzzy, and testing using fuzzy control systems. Kinematics analysis aims to analyze the kinematics equations on a mechanical system was obtained by using the trigonometric equations approach where there are different angles of which are divisions of 0 °-90 °, 90 °-166 °, 166 °-180 °, 180 °-194 °, 194 °-270 °, 270 °-360 °. The equation kinematics is also a big influence on the minimum motor power i.e. of 492.72 watts with one vehicle load of 1800 kg. In addition, on testing system response without control fuzzy obtained values rise time 0.58 seconds, peak time 0.85 seconds, 0.89 seconds, settling time and overshoot 0.20%. While on the control fuzzy system response obtained rise time 0.54 seconds, settling time 0.36 seconds without any peak time and overshoot. The value of the steady state error response without fuzzy system full of 4.14% and the value of the steady state error on a fuzzy control system response amounted to 2.32%. Based on test data of the response of the system, the more optimal fuzzy control system used on miniature RCPS compare without fuzzy control system the absence of overshoot and smaller error value

Implementation of fuzzy logic control system on rotary car parking system prototype

Rotary car parking system (RCPS) is one of the effective parking models used in the metropolitan area because the mechanical parking system is designed vertically to conserve the land usage. This paper discussed the implementation of fuzzy logic with the Sugeno Inference Model on the RCPS miniature control system. The research started with kinematics analysis and a mathematical model was derived to determine the slot position and optimal power requirements for each condition. Furthermore, the Fuzzy Inference model used was the Sugeno Model, taking into account two variables: distance and angle. These two variables were selected because in the designed miniature RCPS there will be rotational changes of rotation and rotation in turn. Variable distance was divided into four clusters, such as Zero, Near, Medium and Far. While the angle variables were divided into four clusters as well, such as Zero, Small, Medium, and Big. The test results on a miniature RCPS consisting of six parking slots showed that fuzzy based control provided better results when compared to conventional systems. Step response on the control system without fuzzy control showed the rise time value of 0.58 seconds, peak time of 0.85 seconds, settling time of 0.89, percentage overshoot of 0.20%, and steady state error of 4.14%. While the fuzzy control system provided the rise time value of 0.54 seconds, settling time of 0.83 seconds, steady state error of 2.32%, with no overshoot

Kinematic analysis of rotary car parking system mechanism

Due to the increased number of vehicles in big cities, parking space become an inherent problem. Recent research on rotary car parking system (RCPS) showed its potential in saving space and time during parking. This paper discussed the kinematic analysis of the RCPS based on the given angle providing automatic power measurement while reducing calculation errors in the final design. The proposed RCPS is designed using six slots, in which each slot has the capability to accommodate only one car. The trigonometric approach is used to derived the equations, in which the RCPS mechanism achieved using different angle, including 0° - 90°, 90° - 166°, 166° - 180°, 180° - 194°, 194° - 270° and 270° - 360°. In this paper, two equations were derived to determine the optimum coordinate positions and the minimum power required. Simulation results showed that when all six slots were occupied, the total mechanical load is 1800 kg. The maximum power requirement is 492.73 watt for the unbalanced load