Performance Enhancement of Suspension System of an Electric Vehicle Using Nature Inspired Meta-Heuristic Optimization Algorithm

Abstract

To achieve the stability for in-wheel suspension system of electric vehicle, the feedback controller gains of proportional-integral, proportional-integralderivative, and cascaded proportional-integral-proportional-derivative controller are tuned using a meta-heuristic based flower pollination algorithm to obtain the vehicle handling stability and control. Simulations using proposed algorithm are compared with other methods to showcase the effectiveness of the selected algorithm. The results are indicating better stabilization of suspension systems in regard to displacement and acceleration of vehicle body and wheel. IntroductionThe demand of electrical vehicles has been accelerated in recent years primarily due to the increase in consumable fuel prices and consumption. The air quality index of the metro cities is dropping with the air pollution caused by conventional vehicles. The gasoline vehicles convert approximately 17-21% of the fuel to power the wheels whereas about 59-62% of electrical energy obtained from the grids by electric vehicles can be converted into useful mechanical energy as per the U.S. Environment Protection Agency [1]. Therefore, the usage of electrical vehicle is future because it reduces air pollution, helps to improve climate changes and global warming. However, the batteries used in these vehicles have disposal issues because of harmful chemicals used in it [2,3].The mechanical propulsion system of electric vehicles may have amalgamated motor driven and in-wheel motor driven arrangement. These in-wheel electric motors are installed to obtain measurable high torque. Apart from this, the configuration has

Internet of Robotic Things (IoRT) and Metaheuristic Optimization Techniques Applied for Wheel-Legged Robot

“…The issue of suspension optimization has already been examined by researchers. Different design methods and algorithms have been verified [24][25][26]. However, the flower pollination algorithm has only been applied to the control system of the gyroscope suspension [27], and it has never been applied to the mechanical task of finding the geometry of the mechanism.…”

Sistem Monitoring SPM Berbasis IoT untuk Meningkatkan Produktivitas & Kualitas pada Perusahaan Manufaktur

“…Operator setiap hari-nya harus melakukan pengecekan SPM untuk setiap mesin pada proses produksi secara manual, dengan menggunakan Production Sheet untuk memastikan proses produksi pada setiap mesin berjalan sesuai jadwal, proses pengecekan SPM memerlukan waktu sekitar 1 jam karena harus mengecek secara manual dengan tingkat kesulitan dan keahlian petugas yang berbeda skill-nya, hal ini di sebabkan belum ada alat yang memudahkan proses pengecekan tersebut secara realtime dan on-line. [5] 1.2 Tinjauan Pustaka Penelitian yang dilakukan dengan Judul Makalah penelitian ini menyajikan " Inovasi real-time berbasis internet of thing (IoT) pemantauan pH dan pengendalian air limbah kota untuk digunakan bagi pertanian dan perkebunan"(Khatri, Sharma, & Khatri, 2018) [6]. Penggunaan shield Wi-Fi untuk komunikasi secara nirkabel diterapkan sebagai sistem perangkat untuk membangun sebuah jaringan kecil sensor nirkabel.…”

Performance Comparison of PID and LQR Controllers for Control of Non-Linear Magnetic Levitation System

“…It can be controlled using MLS, PID and LQR methods [24], [25], [26]. Because there are many factors affecting the control of MLS, it attracts the attention of researchers working on control systems [27], [28], [29]. Many studies have been carried out to analyze the results by applying different control methods on the control of MLS [30], [31], [32].…”