Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey <s> 7) Intake and Exhaust Systems: <s> A genetic algorithm with a penalty function is used to optimize the intake and exhaust system of gasoline engine, whose middle range torque was deceased a lot due to the adding of a catalyst. First two GT-power models are built based on experimental results of the gasoline engine with/without catalyst. Then the intake pipe length and diameter and exhaust pipe length and diameter are chosen as the optimal variables. A genetic algorithm (GA) with two constrain conditions is used to search the optimal result, and a penalty function is added to solve the constrain conditions. This optimization process is done by a simulink model coupled with the GT-power models (SCG models). The final optimal result shows that the missing torque of the original engine can be well recovered. The GA model is a good optimization tool for the complex engine problem. <s> BIB001 </s> Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey <s> 7) Intake and Exhaust Systems: <s> The goal of this paper is to control intake's manifold pressure of a downsized turbocharged internal combustion gasoline engine. Since intake's manifold pressure is an image of the torque that the engine develops, tracking an appropriated intake's manifold pressure reference implies tracking driver's reference torque. This paper proposes a novel control architecture based on Q-LPV H ∞ closed loop shaping and a metaheuristic PSO (Particle Swarm Optimization) algorithm that enables non control-experts to tune the H ∞ engine controller. Stability margins and most significant singular values plots are computed. Time domain simulations have been performed using a non-linear 1.2 liter gasoline engine model. <s> BIB002
One way of reducing the emission of new engines is through the post-processing techniques, such as installing a catalyst in the exhaust pipe. However, the problem with this technique is that the exhaust pipe changes the reflection point of the exhaust pressure wave, which decreases the torque of the engine. This could be managed by optimizing the intake and the exhaust pressure wave. A genetic algorithm was adopted in BIB001 to optimize the intake and exhaust system of a gasoline engine, where the experimental data were used to model the engine, then the length and diameter of the intake and exhaust pipes were optimized. The control of the intake's manifold pressure of a gasoline engine was studied in BIB002 . This paper proposed a novel control architecture for tuning the H ∞ engine controller, which was optimized by a PSO algorithm.